28 Data Architect jobs in South Africa

Data Architect

Recruiter:
Salix Recruitment

Job Ref:
JHB /JK

Date posted:
Sunday, October 19, 2025

Location:
Johannesburg, South Africa

Salary:

SUMMARY:
In search of a skilled Data Architect in JHB

POSITION INFO:
A Data Architect designs and manages an organisation's data ecosystem, ensuring seamless data flow to drive decisions and innovation.

You create frameworks for storing, accessing, and utilising data efficiently, focusing on scalability, security, and organisation. From optimising data pipelines to building robust databases, your role is essential for turning raw data into actionable insights.

As a strategist and problem-solver, you collaborate with teams to align technical solutions with business needs. You integrate new technologies, establish governance, and future-proof data infrastructure, ensuring the organisation thrives in a data-driven world.

Being a Data Architect means building the foundation for smarter, faster, and more informed decisions, lighting the way forward for the business.

Reach out to:

Duties:

• Design and implement robust data architectures to support the organisation's business objectives, ensuring scalability, security, and performance.
• Develop and maintain data models, data integration frameworks, and storage solutions to facilitate seamless data flow and accessibility.
• Collaborate with cross-functional teams to understand business needs and translate them into data solutions and strategies.
• Establish and enforce data governance standards, including data quality, security, and compliance.
• Monitor and optimise data systems to ensure peak performance and reliability.
• Evaluate emerging technologies and trends to recommend improvements or innovations in data management and architecture.
• Create and maintain technical documentation for data architecture, processes, and systems.

Job Experience & Skills Required:
Qualifications:

• Matric (Grade 12)
• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
• An Honour's degree in Data Management, Analytics, or Business Administration is advantageous.
• Certifications such as AWS Certified Data Analytics, Google Professional Data Engineer, or Microsoft Certified Azure Data Engineer are a plus.

Experience:

• 5+ years of experience in data architecture, data engineering, or related roles.
• Proven track record of designing and implementing large-scale data solutions.
• Hands-on experience with data governance, metadata management, and data cataloguing tools.
• Experience leading data-centric projects and mentoring technical teams is preferred.

Skills & Competencies:

• Proficient in data modelling, database design, and data warehousing concepts.
• Expertise in SQL and database technologies (e.g., Oracle, MySQL, PostgreSQL).
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud and their respective data services.
• Strong understanding of ETL processes, data integration tools (e.g., Informatica, Talend), and Big Data technologies (e.g., Hadoop, Spark).
• Knowledge of data governance frameworks and regulatory compliance requirements.
• Excellent problem-solving skills and the ability to work with complex datasets.
• Strong communication and collaboration skills to engage with technical and non-technical stakeholders effectively.
• Strategic thinker with attention to detail and a focus on delivering actionable insights.

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

Job Description

To support in the design and development of information and data architecture framework and principles and develop and drive information and data architecture models and data systems within the data platform.

Hello, future Data Architect

Welcome to FNB, the home of the #changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of people that make it happen.

This role is within the Direct Axis, IT Business Intelligence team. As part of our talent team, you will be surrounded by unique talents, diverse minds, and an adaptable environment that lives up to the promise of staying curious. Now's the time to imagine your potential in a team where experts come together and ignite effective change.

Are you someone who can:

• Understanding of system landscape
• Knowledge of Information Management
• Understanding of advanced analytics techniques, technologies, standards and best practices as it relates to Information Architecture
• Knowledge of Master Data Management, Data Warehousing (different architectural approaches), BI and Data Engineering.
• Proficient in at least one information management domain and technology (e.g. data security, data modelling, data integration, metadata management, data quality and profiling and records management)
• Understanding of Agile methodologies, frameworks and practices and ability to apply
• Some experience in designing efficient solutions to enable rapid deployment of advanced analytical solutions.

You will be an ideal candidate if you:

• Have a relevant degree in Computer Science, BCom Information Management Systems, or IT
• A minimum of 3 to 5 years of experience in a similar environment is essential
• Proven cloud experience will be advantageous

You will have access to:

• Opportunities to network and collaborate
• Challenging Working
• Opportunities to innovate

We can be a match if you are:

• Curious & courageous - you're driven by always wanting to know more and learn more and you're brave enough to
• Obsessed with mastery - you know what it takes to become good at what you do and are constantly pushing yourself to do it

Are you interested to take the step? We look forward to engaging with you further. Apply now

Job Details

Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below.

21/10/25

All appointments will be made in line with FirstRand Group's Employment Equity plan. The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

Apply now »

Date:
3 Sept 2025

Location:
Stellenbosch, Western Cape, ZA

Company:
Capitec Bank Ltd

Apply By
We're on the lookout for energetic, self-motivated individuals who share our passion for service in the banking industry. To be part of the journey, follow the steps below:

• To see what life at Capitec is all about and complete a short assessment, please click here
• Once you have completed the above finalize your application by clicking apply below.

Join Us in Becoming the Best Bank in the World
We appoint energized and motivated people for their potential and continuously look for talented, driven individuals to help us innovate and evolve. That is why we focus on finding the right people for the right jobs. We love what we do because we focus on making a positive difference for our clients and employees. Our company DNA is built around talented and committed teams dedicated to build a brand that we are proud of and earns the trust of our clients.

Who We Are
We are a bank, but we're much more than that. We believe that banking is about enabling people to control their financial lives through banking that is simplified, accessible, affordable, and delivered through a personal experience. By helping our clients manage their financial lives better, we enable them to live better

Why choose Us
At Capitec, we offer our best by living up to our CEO values in every situation – we always put the Client first, act with Energy and take Ownership. And to support people in being their best, our Employee Value Proposition offers every value to all team members through cohesive teams, growth opportunities as well as employee benefits and savings. We make it a priority to ensure that each member of the Capitec team feels welcome, valued, focused, and has the opportunity to grow.

About The Role
Are you a data visionary who thrives on turning complexity into clarity? At Capitec Bank, we're building the bank of the future — reimagining how we harness data at scale to drive smarter decisions, AI innovation, and exceptional client experiences within our sales channels, the heartbeat of our retail business.As a Data Architect within our Channels Data and Analytics team, you will play a key role in designing and shaping the data infrastructure that empowers our sales channels to self-serve and move faster — all while ensuring solutions remain lean, scalable, and trusted.We're looking for someone with a strong background in data warehousing and a solid understanding of domain-driven design principles, capable of architecting robust, future-proof data ecosystems that align with both immediate business priorities and long-term strategic growth.If you're passionate about cutting through complexity to build elegant, scalable data architectures that fuel data-driven innovation in our most vital retail channels, this is your opportunity to make a meaningful impact and help simplify banking for millions.

Education (Minimum)

• Bachelor's Degree in Information Technology - Computer Science

Education (Ideal Or Preferred)

• Bachelor's Degree in AWS Architecture

Minimum Requirements

• A bachelor's in computer science, Engineering, Information Systems, Mathematics, Physics, or a related field.
• A minimum of 5 years' proven experience in data analysis, data modeling, data engineering, and data management.
• At least 2 years of hands-on experience with AWS Cloud services
• Databases: Redshift, Aurora, SQL Server, DynamoDB
• Exposure to or experience in front-end engineering.
• Exposure to or experience in Artificial Intelligence (AI), Machine Learning (ML), Data Engineering, or Business Intelligence (BI).

Knowledge

• Data Management and Data Modelling Platforms (Collibra and ERStudio or equivalent).

Ideal

• Banking Knowledge, (business environment, products and services and regulatory landscape)
• TOGAF
• Agile Methodology

Ideal Skills

• Analytical Skills
• Attention to Detail
• Communications Skills
• Decision making skills
• Planning, organising and coordination skills
• Problem solving skills

Skills

• Analytical Skills
• Attention to Detail
• Communications Skills
• Decision making skills
• Planning, organising and coordination skills
• Problem solving skills

Additional Information

• Clear criminal and credit record

Capitec is committed to diversity, applications to this position will strictly be considered in support of our employment equity goals.
Apply now »

At Open Box Software, we don't just deliver software - we help businesses unlock the power of data to drive smarter decisions. We're looking for a
Lead Data Architect
to shape strategic, enterprise-scale data solutions and lead technical engagements that make a real difference. If you enjoy translating complex requirements into powerful architectures, love working with cloud-native technologies, and want to mentor and lead teams in delivering high-impact solutions, we'd love to hear from you.

This is your opportunity to join a collaborative and high-performing team that values technical excellence, personal growth, and creating genuine impact for our international clients.

Job Summary
We are seeking a highly experienced and meticulous
Lead Data Architect
to spearhead client strategic engagement, design, proposal, and implementation of robust and scalable data solutions for our diverse client base. This role requires a blend of deep technical expertise in data architecture, a keen eye for detail, and an innovative approach to problem-solving. The Lead Data Architect will be instrumental in defining our data landscape, ensuring high-quality technical delivery, and guiding our engineering efforts.

Responsibilities

• Architectural Design & Implementation: Design, propose, and oversee the implementation of enterprise-level data architectures, including data warehouses (Kimball methodologies), data lakes (Medallion architecture), data governance processes, master data solutions and modern data platforms (Azure, Microsoft Fabric).
• Technical Leadership & Guidance: Provide senior technical guidance to implementation teams, ensuring adherence to best practices, high-quality code, and scalable solutions.
• Technical Estimation & Scoping: Develop accurate and detailed proposal documents of varying complexity along with the requisite accurate effort estimations for technical delivery.
• Documentation & Visualization: Create clear, comprehensive, and high-quality architectural diagrams, technical specifications, and discovery workshop documentation. Develop consistency within this arena to streamline service offerings and provide an exceptional client experience.
• Technology Evaluation & Recommendation: Research, evaluate, and recommend cutting-edge data technologies and tools to enhance our service offerings and client solutions.
• Quality Assurance: Champion a culture of high-quality technical delivery to ensure robust and maintainable data solutions.
• Innovation: Actively seek out-of-the-box solutions and creative approaches to complex data challenges, fostering a forward-thinking technical environment.
• Meaningful Client Engagements: Engage with clients and build meaningful relationships to support the sales process as well as successfully eliciting requirements for varying requirements based on client needs.
• Strategic Vision: Capacity to consult with clients at a strategic level to develop an enterprise roadmap whilst incorporating technical architecture to support varying outcomes.

Experience:

• Minimum of 3 - 5 years of hands-on experience in data architecture
• 5 – 8 years solid experience in data and analytics, data modelling, data engineering, reporting, data management and data governance
• Proven consulting experience of between 2 – 4 years delivering commercial proposals covering simple through to complex client requirements and project sizes
• A strong portfolio of successfully delivered enterprise-level data solutions.

Technical Acumen:

• Deep expertise in Data Warehousing (Kimball Methodology) and Data Lake (Medallion Architecture) principles and implementation.
• Extensive practical experience with Azure data services and Microsoft Fabric.
• Proficiency in designing and implementing complex data pipelines and ETL/ELT processes.
• Strong understanding of data governance, security, and compliance best practices.

Analytical & Problem-Solving Skills:

• Exceptional analytical skills with a proven ability to think creatively and solve complex technical problems.

Attention to Detail:

• Meticulous attention to detail in design, client presentations, documentation, and implementation.

Communication:

• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly to technical and non-technical audiences.

Team Success:

• Values team-based delivery through working well with different stakeholders both internally and externally.

Creativity:

• Can generate new content for client facing presentations of a high standard and that encourage meaningful client engagements and support sales related activities.

Preferred Qualifications:

• A Bachelor's degree in Computer Science or Engineering or equivalent
• Relevant industry certifications (e.g., Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate).
• Experience with other cloud platforms (AWS, GCP) is a plus.
• Familiarity with DataOps and MLOps principles is a plus.
• CDMP Master or Practitioner is a plus.

Personal Traits:

• Friendly and humble
• Conscientious
• Empathetic and self-aware
• Considerate
• Self-motivated
• Strong work ethic
• Sound decision-making ability
• Team player

Senior Data Architect

Job Grade: P4

Ref No.: D

Location: Pretoria

Nature of employment: 5 years fixed term contract

Job Purpose:
The primary purpose of this role is to lead and implement a comprehensive Data Governance Program and establish a robust, future-proof Data Architecture across multi-cloud platforms. This role is crucial to revolutionizing CIPC's data management, enhancing data quality, streamlining analytics processes, and creating a centralized data hub, including a Data Marketplace, to foster a data-driven culture and enable advanced analytics across the organization.

Required Minimum Education / Training

Candidates must meet one of the following requirements
:

• Formal Education Pathway (Preferred): Education: Bachelor's Degree / Advanced Diploma in Computer Science, Computer Engineering, Data Analytics, Data Engineering, Statistics/Mathematical Science/Economic Sciences, or a relevant quantitative field.

Required Minimum experience

• Experience
  : Minimum 10–15 years of proven experience as a Data Architect, Solutions Architect, or equivalent senior data leadership role, with a strong focus on cloud-native data architecture and governance.
• Cloud Platforms:
  Deep understanding of cloud services and technologies relevant to data management and analytics, including Azure, AWS, and Google Cloud.
• Technical Skills:
  Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

Specialized Certification and Experience Pathway (Alternative):

Required Minimum Education / Training

• Education
  : National Diploma in Information Technology or a related technical field.

Required Minimum Experience:

• Experience
  : Minimum 12–17 years of progressive experience in Data Governance, Data cataloging tools, and Data Lakehouse implementation, Data Engineering, and Data Architecture, demonstrating a career trajectory that has built the equivalent strategic and leadership capabilities of a Bachelor's degree holder.
• Mandatory Certifications
  : The candidate must hold a combination of at least two advanced professional certifications, which must include one strategic framework and one platform-specific architect certification:

1. Strategic Architecture/Governance (MUST include one):

• TOGAF Certification (e.g., TOGAF 9 Certified or equivalent)
• Certified Data Management Professional (CDMP) (at Professional or Master level)

2. Cloud Platform/Engineering (MUST include one):

• Databricks Certified Data Engineer (Associate or Professional)
• Microsoft Certified: Azure Solutions Architect Expert / Azure Data Engineer Associate
• Google Cloud Certified Professional Data Engineer / Professional Cloud Architect
• AWS Certified Solutions Architect – Professional / Data Analytics – Specialty

Minimum Functional Requirements (Technical Skills & Knowledge)

●
Deep Data Modeling Expertise:
Expert-level proficiency in designing and implementing

dimensional (Star/Snowflake), Data Vault, and Relational data models, with a clear

understanding of the trade-offs between them.

●
Cloud Data Platform Mastery:
In-depth knowledge and proven experience designing and

deploying scalable data solutions using at least two major cloud platforms (
Azure, AWS, or

GCP
), including their respective data warehousing, data lake, and compute services.

●
Big Data Ecosystem:
Strong hands-on experience with
Apache Spark (PySpark/Scala)
for

large-scale data processing and experience with modern messaging/streaming technologies

(e.g., Kafka).

●
Data Governance:
Proven ability to implement technical solutions for
Metadata Management,

Data Lineage, Data Quality
(DQ), and
Data Observability
.

●
Advanced SQL & Programming:
Expert proficiency in writing complex, optimized SQL queries

and extensive experience in a programming language like Python or Scala for pipeline

development.

●
Architecture Frameworks:
Practical experience applying Enterprise Architecture

methodologies and frameworks, such as
TOGAF
, to data initiatives.

●
Security & Access Control:
Expertise in designing and enforcing fine-grained data access

controls, encryption, and data masking techniques across cloud data stores.

●
Technical Skills:
Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and

data governance best practices. Proficiency in SQL, Python, Spark, and other relevant

programming languages and tools.

●
Soft Skills:
Excellent communication, collaboration, and problem-solving skills. Ability to work

independently and lead a team of technical resources.

Key performance areas

1. Data Architecture Strategy & Design:

2. Architectural Blueprint:
   Design and maintain the conceptual, logical, and physical data models, data dictionaries, and comprehensive data flow diagrams across the enterprise.

3. Strategic Alignment:
   Develop forward-looking data strategies for data warehousing, data mining, and data integration that align with CIPC's business objectives and technological roadmap.
4. Tool Evaluation & Selection
   : Evaluate, recommend, and select appropriate data management tools, technologies, and platforms to ensure optimal performance, scalability, and cost-efficiency.

2. Data Lakehouse Architecture:

• Cloud Architecture:
  Design and implement a secure, scalable, and highly available Data Lakehouse architecture across multi-cloud platforms (including Azure, AWS, and GCP services like Azure Databricks, AWS Redshift, Google BigQuery, and respective storage solutions).
• Data Pipeline Development
  : Establish robust, end-to-end data ingestion (batch and streaming) and ELT/ETL pipelines to incorporate diverse data sources into the Data Lakehouse effectively.
• Analytics Enablement
  : Develop optimized data transformation, processing, and storage solutions tailored for advanced analytics, reporting, and data science workloads.

3. Data Governance & Management

• Governance Frameworks:
  Define and establish comprehensive data management frameworks for Data Ingestion, Data Lake, Data Warehouse, Data Sharing, Data Analytics, and Data Quality.
• Data Marketplace & Sharing:
  Design and implement a Data Marketplace architecture to facilitate governed data sharing and collaboration among internal stakeholders, fostering a data-driven culture.
• Quality & Observability:
  Define and implement data quality monitoring, validation, and improvement processes, including developing data observability solutions to track data health, usage, lineage, and compliance across the entire data ecosystem.
• Metadata Management:
  Utilize and champion Data Catalog tools for effective data discovery, metadata management, and lineage tracking.

4. Collaboration, Guidance & Compliance

• Stakeholder Engagement:
  Collaborate proactively with IT, business leaders, and security teams to prioritize data requirements, define service level agreements (SLAs), and develop data governance policies and procedures.
• Mentorship & Support:
  Provide technical guidance and support to Data Analysts, Data Engineers, and Data Scientists, ensuring the effective and responsible leveraging of data assets.
• Regulatory Compliance:
  Ensure all data systems and processes comply with relevant regulations, standards, and security policies.

Applicants may, as a step in the recruitment process, be subjected to competency assessment. In addition, the successful candidate must be prepared to undergo a process of security clearance prior to appointment.

Qualifications and SA citizenship checks will be conducted on the successful candidate. It is the applicant's responsibility to have foreign qualifications evaluated by the South African Qualifications Authority (SAQA).

It will be expected of candidates to be available for selection interviews on a date, time and place as determined by CIPC.

CIPC is an equal opportunity, affirmative action employer. Preference will be given to candidates whose appointment will enhance representation in accordance with the approved employment equity plan.

Feedback will only be given to shortlisted candidates.

CIPC reserves the right not to fill an advertised position.

For further details regarding these positions please click on the link: or visit the CIPC website at

Kindly note that faxed, emailed, posted and or hand delivered applications will not be considered.

Should you experience any difficulty in applying please contact the CIPC Recruitment Office by dialing: /7075/7197 or

Closing date:
31 October 2025

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Senior Data Architect

Job Grade: P4

Ref No.: D

Location: Pretoria

Job Type: 5 years fixed term contract

Job Purpose: The primary purpose of this role is to lead and implement a comprehensive Data Governance Program and establish a robust, future-proof Data Architecture across multi-cloud platforms. This role is crucial to revolutionizing CIPC's data management, enhancing data quality, streamlining analytics processes, and creating a centralized data hub, including a Data Marketplace, to foster a data-driven culture and enable advanced analytics across the organization.

Required Minimum Education / Training

Candidates must meet one of the following requirements:

• Formal Education Pathway (Preferred): Education: Bachelor's Degree / Advanced Diploma in Computer Science, Computer Engineering, Data Analytics, Data Engineering, Statistics/Mathematical Science/Economic Sciences, or a relevant quantitative field.

Required Minimum experience
- Experience: Minimum 10–15 years of proven experience as a Data Architect, Solutions Architect, or equivalent senior data leadership role, with a strong focus on cloud-native data architecture and governance.
- Cloud Platforms: Deep understanding of cloud services and technologies relevant to data management and analytics, including Azure, AWS, and Google Cloud.
- Technical Skills: Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

Specialized Certification and Experience Pathway (Alternative):

Required Minimum Education / Training

• Education: National Diploma in Information Technology or a related technical field.

Required Minimum Experience

• Experience: Minimum 12–17 years of progressive experience in Data Governance, Data cataloging tools, and Data Lakehouse implementation, Data Engineering, and Data Architecture, demonstrating a career trajectory that has built the equivalent strategic and leadership capabilities of a Bachelor's degree holder.

• Mandatory Certifications: The candidate must hold a combination of at least two advanced professional certifications, which must include one strategic framework and one platform-specific architect certification:

• Strategic Architecture/Governance (MUST include one):

• TOGAF Certification (e.g., TOGAF 9 Certified or equivalent)

• Certified Data Management Professional (CDMP) (at Professional or Master level)

• Cloud Platform/Engineering (MUST include one):

• Databricks Certified Data Engineer (Associate or Professional)

• Microsoft Certified: Azure Solutions Architect Expert / Azure Data Engineer Associate
• Google Cloud Certified Professional Data Engineer / Professional Cloud Architect
• AWS Certified Solutions Architect – Professional / Data Analytics – Specialty

Minimum Functional Requirements (Technical Skills & Knowledge)

? Deep Data Modeling Expertise: Expert-level proficiency in designing and implementing dimensional (Star/Snowflake), Data Vault, and Relational data models, with a clear understanding of the trade-offs between them.

? Cloud Data Platform Mastery:In-depth knowledge and proven experience designing and deploying scalable data solutions using at least two major cloud platforms (Azure, AWS, or GCP), including their respective data warehousing, data lake, and compute services.

? Big Data Ecosystem:Strong hands-on experience with Apache Spark (PySpark/Scala) for large-scale data processing and experience with modern messaging/streaming technologies (e.g., Kafka).

? Data Governance:Proven ability to implement technical solutions for Metadata Management, Data Lineage, Data Quality (DQ), and Data Observability.

? Advanced SQL & Programming: Expert proficiency in writing complex, optimized SQL queries and extensive experience in a programming language like Python or Scala for pipeline development.

? Architecture Frameworks:Practical experience applying Enterprise Architecture methodologies and frameworks, such as TOGAF, to data initiatives.

? Security & Access Control: Expertise in designing and enforcing fine-grained data access controls, encryption, and data masking techniques across cloud data stores.

? Technical Skills: Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

? Soft Skills: Excellent communication, collaboration, and problem-solving skills. Ability to work independently and lead a team of technical resources.

Key performance areas

• Data Architecture Strategy & Design:

• Architectural Blueprint: Design and maintain the conceptual, logical, and physical data models, data dictionaries, and comprehensive data flow diagrams across the enterprise.

• Strategic Alignment: Develop forward-looking data strategies for data warehousing, data mining, and data integration that align with CIPC's business objectives and technological roadmap.

• Tool Evaluation & Selection: Evaluate, recommend, and select appropriate data management tools, technologies, and platforms to ensure optimal performance, scalability, and cost-efficiency.

• Data Lakehouse Architecture:

• Cloud Architecture: Design and implement a secure, scalable, and highly available Data Lakehouse architecture across multi-cloud platforms (including Azure, AWS, and GCP services like Azure Databricks, AWS Redshift, Google BigQuery, and respective storage solutions).

• Data Pipeline Development: Establish robust, end-to-end data ingestion (batch and streaming) and ELT/ETL pipelines to incorporate diverse data sources into the Data Lakehouse effectively.

• Analytics Enablement: Develop optimized data transformation, processing, and storage solutions tailored for advanced analytics, reporting, and data science workloads.

• Data Governance & Management

• Governance Frameworks: Define and establish comprehensive data management frameworks for Data Ingestion, Data Lake, Data Warehouse, Data Sharing, Data Analytics, and Data Quality.

• Data Marketplace & Sharing: Design and implement a Data Marketplace architecture to facilitate governed data sharing and collaboration among internal stakeholders, fostering a data-driven culture.
• Quality & Observability: Define and implement data quality monitoring, validation, and improvement processes, including developing data observability solutions to track data health, usage, lineage, and compliance across the entire data ecosystem.

• Metadata Management: Utilize and champion Data Catalog tools for effective data discovery, metadata management, and lineage tracking.

• Collaboration, Guidance & Compliance

• Stakeholder Engagement: Collaborate proactively with IT, business leaders, and security teams to prioritize data requirements, define service level agreements (SLAs), and develop data governance policies and procedures.

• Mentorship & Support: Provide technical guidance and support to Data Analysts, Data Engineers, and Data Scientists, ensuring the effective and responsible leveraging of data assets.
• Regulatory Compliance: Ensure all data systems and processes comply with relevant regulations, standards, and security policies.

Applicants may, as a step in the recruitment process, be subjected to competency assessment. In addition, the successful candidate must be prepared to undergo a process of security clearance prior to appointment.

Qualifications and SA citizenship checks will be conducted on the successful candidate. It is the applicant's responsibility to have foreign qualifications evaluated by the South African Qualifications Authority (SAQA).

It will be expected of candidates to be available for selection interviews on a date, time and place as determined by CIPC.

CIPC is an equal opportunity, affirmative action employer. Preference will be given to candidates whose appointment will enhance representation in accordance with the approved employment equity plan.

Feedback will only be given to shortlisted candidates.

CIPC reserves the right not to fill an advertised position.

For further details regarding these positions please click on the link: or visit the CIPC website at

Kindly note that faxed, emailed, posted and or hand delivered applications will not be considered.

Should you experience any difficulty in applying please contact the CIPC Recruitment Office by dialing: , 7075, 7197 or

Closing date:October 31, 2025

Required Minimum Education / Training

Candidates must meet one of the following requirements:

• Formal Education Pathway (Preferred): Education: Bachelor's Degree / Advanced Diploma in Computer Science, Computer Engineering, Data Analytics, Data Engineering, Statistics/Mathematical Science/Economic Sciences, or a relevant quantitative field.

Required Minimum experience
- Experience: Minimum 10–15 years of proven experience as a Data Architect, Solutions Architect, or equivalent senior data leadership role, with a strong focus on cloud-native data architecture and governance.
- Cloud Platforms: Deep understanding of cloud services and technologies relevant to data management and analytics, including Azure, AWS, and Google Cloud.
- Technical Skills: Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

Specialized Certification and Experience Pathway (Alternative):

Required Minimum Education / Training

• Education: National Diploma in Information Technology or a related technical field.

Required Minimum Experience

• Experience: Minimum 12–17 years of progressive experience in Data Governance, Data cataloging tools, and Data Lakehouse implementation, Data Engineering, and Data Architecture, demonstrating a career trajectory that has built the equivalent strategic and leadership capabilities of a Bachelor's degree holder.

• Mandatory Certifications: The candidate must hold a combination of at least two advanced professional certifications, which must include one strategic framework and one platform-specific architect certification:

• Strategic Architecture/Governance (MUST include one):

• TOGAF Certification (e.g., TOGAF 9 Certified or equivalent)

• Certified Data Management Professional (CDMP) (at Professional or Master level)

• Cloud Platform/Engineering (MUST include one):

• Databricks Certified Data Engineer (Associate or Professional)

• Microsoft Certified: Azure Solutions Architect Expert / Azure Data Engineer Associate
• Google Cloud Certified Professional Data Engineer / Professional Cloud Architect
• AWS Certified Solutions Architect – Professional / Data Analytics – Specialty

Minimum Functional Requirements (Technical Skills & Knowledge)

? Deep Data Modeling Expertise: Expert-level proficiency in designing and implementing dimensional (Star/Snowflake), Data Vault, and Relational data models, with a clear understanding of the trade-offs between them.

? Cloud Data Platform Mastery: In-depth knowledge and proven experience designing and deploying scalable data solutions using at least two major cloud platforms (Azure, AWS, or GCP), including their respective data warehousing, data lake, and compute services.

? Big Data Ecosystem: Strong hands-on experience with Apache Spark (PySpark/Scala) for large-scale data processing and experience with modern messaging/streaming technologies (e.g., Kafka).

? Data Governance: Proven ability to implement technical solutions for Metadata Management, Data Lineage, Data Quality (DQ), and Data Observability.

? Advanced SQL & Programming: Expert proficiency in writing complex, optimized SQL queries and extensive experience in a programming language like Python or Scala for pipeline development.

? Architecture Frameworks: Practical experience applying Enterprise Architecture methodologies and frameworks, such as TOGAF, to data initiatives.

? Security & Access Control: Expertise in designing and enforcing fine-grained data access controls, encryption, and data masking techniques across cloud data stores.

? Technical Skills: Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

? Soft Skills: Excellent communication, collaboration, and problem-solving skills. Ability to work independently and lead a team of technical resources.

Management Level
Manager

Job Description & Summary
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.

In data architecture at PwC, you will focus on designing and implementing the structure and organisation of data assets within the organisation. Your work will involve developing data models, defining data standards, and establishing data integration frameworks. You will assist in confirming that data is stored, accessed, and utilised efficiently, enabling seamless data flow across systems and supporting effective data management practices.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Position Overview:

As a Data Architect at the Manager Level within the Africa Tech team, you will be responsible for designing and optimizing the firm's data architecture to support strategic goals and enhance business decision-making processes. You will work collaboratively with cross-functional teams to ensure that data assets are well-governed and accessible. Your role will emphasize innovation, continuous improvement, and leveraging AI-assisted tools to transform data into actionable insights while fostering a shared commitment to excellence.

Culture Vision Statement:

Our Africa Tech and Digital team is a dynamic community of self-starters and innovators who embrace change and the constant evolution of technology. We are committed to fostering an environment where curiosity

thrives

and creativity is celebrated. By leveraging AI-assisted tools and respecting diverse perspectives, we drive collaborative success while enhancing our collective knowledge and skills. We believe in the power of technology to transform and improve our processes, always seeking to challenge the status quo. Together, we work with urgency and empathy, united in our mission to create impactful solutions that benefit our firm and our clients.

Key Responsibilities:

1. Data Architecture Design:

2. Develop and maintain scalable and secure data architecture frameworks

and patterns

that align with the firm's strategic objectives and operational needs.

• Design and implement robust data models

and patterns

that optimize data storage, retrieval, and transformation processes, promoting high data quality and availability.

1. Data Governance and Quality:

2. Collaborate with the Data Governance and Quality team to establish and enforce data governance policies, standards, and practices, ensuring compliance with regulatory requirements and internal policies.

3. Implement data quality controls and best practices to maintain the integrity and reliability of data assets, enhancing trust among stakeholders.

4. Collaboration and Stakeholder Engagement:

5. Work with various teams, including Application Architects, Data Engineers, and business units, to gather requirements and understand data needs.

6. Facilitate discussions to articulate data-related challenges and opportunities, promoting a collaborative approach to data management.

7. Technology Evaluation and Implementation:

8. Evaluate emerging data technologies, tools, and trends to recommend optimal solutions that leverage the power of data analysis and enhance decision-making capabilities.

9. Lead the integration of cloud data platforms (e.g., AWS, Azure, Google Cloud) and on-premises solutions to create

a unified

data architecture.

1. Continuous Improvement and Innovation:

2. Identify opportunities for process improvements within data architecture practices, promoting a culture of continuous innovation and adaptation.

3. Champion the use of AI-assisted tools to enhance data analytics, reporting, and visualization capabilities.

4. Documentation and Reporting:

5. Prepare and maintain comprehensive documentation related to data architecture, including data models, workflows, and governance practices.

6. Report on architecture initiatives, data governance status, and compliance to senior management, highlighting key metrics and areas for enhancement.

7. Training and Knowledge Sharing:

8. Mentor junior team members and foster knowledge sharing across the Africa Tech and Digital team, contributing to collective expertise in data architecture and management.

9. Advocate for

data literacy within the organization, providing training and resources to ensure that all employees understand the importance of data quality and governance.

1. Support and Troubleshooting:

2. Collaborate with relevant teams to troubleshoot data-related issues, ensuring high availability and performance of data systems.

3. Analyze incidents to identify root causes and implement preventive measures to reduce future occurrences, showing a commitment to continuous excellence.

**Qualifications

and Skills

:**

Education:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or

equivalent experience.

• Certifications in

Data Management Professional, AWS Certified Big

would be advantageous.

• Experience:

Minimum of

3-5

years of experience in data architecture, data management, or related roles within a complex enterprise environment.

Technical Skills:

• Proficient in data modeling techniques and tools (e.g.,

ERwin

, Microsoft Visio), and strong knowledge of database management systems (e.g., SQL, NoSQL) and data warehousing concepts.

• Familiarity with data governance principles, data quality frameworks, and cloud data platforms.

Soft Skills:

• Excellent communication and interpersonal skills to engage effectively with technical and non-technical stakeholders.

• Strong analytical and problem-solving skills, fostering a proactive approach to data management challenges.

• Ability to work collaboratively within a cross-functional team environment, embodying the urgency and empathy that our culture promotes.

Conclusion

At PwC, our purpose is to build trust in society and solve important problems. As we navigate an increasingly complex world, we are dedicated to ensuring that the systems on which communities and economies depend can adapt and thrive. Each role within our organization contributes to this mission, reinforcing our commitment to high ethical standards and the importance of trust.

Our five core values guide our actions and define who we are. They emphasize building trust through professionalism, ethical behavior, and a commitment to quality in all our interactions, whether with clients, colleagues, or the broader community. We respect privacy and confidentiality, and we strive for transparency in our operations, demonstrating care and integrity in our relationships.

As part of our human-led, tech-powered approach, we empower our people through technology and foster an environment

where

speaking up is encouraged, and diverse perspectives are celebrated. By embodying these principles in our daily work, we can collectively drive impactful outcomes that resonate with our clients and

society as a whole

. Together, let's embrace our purpose and values to create meaningful change.

The Data Architect at the Manager Level is essential in shaping and optimizing the organization's data landscape, ensuring that data is well-governed, high-quality, and accessible for informed decision-making. Your expertise will significantly

impact

the Africa Tech and Digital team's success, driving innovative solutions that reflect our commitment

to our clients and our Ubuntu philosophy.

You need to be passionate about

data

architecture and PwC's purpose needs to resonate with you.

Travel Requirements
Up to 20%

Available for Work Visa Sponsorship?
No

Job Posting End Date
October 14, 2025

ADVERTISEMENT

Senior Data Architect

Job Grade: P4

Ref No.:   D

Location:   Pretoria

Job Type:   5 years fixed term contract

Job Purpose:  The primary purpose of this role is to lead and implement a comprehensive Data Governance Program and establish a robust, future-proof Data Architecture across multi-cloud platforms. This role is crucial to revolutionizing CIPC's data management, enhancing data quality, streamlining analytics processes, and creating a centralized data hub, including a Data Marketplace, to foster a data-driven culture and enable advanced analytics across the organization.

Required Minimum Education / Training

Candidates must meet one of the following requirements :

• Formal Education Pathway (Preferred): Education: Bachelor's Degree / Advanced Diploma in Computer Science, Computer Engineering, Data Analytics, Data Engineering, Statistics/Mathematical Science/Economic Sciences, or a relevant quantitative field.
  

  Required Minimum experience

  
  


• Experience : Minimum 10–15 years of proven experience as a Data Architect, Solutions Architect, or equivalent senior data leadership role, with a strong focus on cloud-native data architecture and governance.


• Cloud Platforms:  Deep understanding of cloud services and technologies relevant to data management and analytics, including Azure, AWS, and Google Cloud.


• Technical Skills:  Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

Specialized Certification and Experience Pathway (Alternative):

Required Minimum Education / Training

• Education : National Diploma in Information Technology or a related technical field.

Required Minimum Experience

• Experience : Minimum 12–17 years of progressive experience in Data Governance, Data cataloging tools, and Data Lakehouse implementation, Data Engineering, and Data Architecture, demonstrating a career trajectory that has built the equivalent strategic and leadership capabilities of a Bachelor's degree holder.


• Mandatory Certifications : The candidate must hold a combination of at least two advanced professional certifications, which must include one strategic framework and one platform-specific architect certification:

1. Strategic Architecture/Governance (MUST include one):

• TOGAF Certification (e.g., TOGAF 9 Certified or equivalent)


• Certified Data Management Professional (CDMP) (at Professional or Master level)

1. Cloud Platform/Engineering (MUST include one):

• Databricks Certified Data Engineer (Associate or Professional)


• Microsoft Certified: Azure Solutions Architect Expert / Azure Data Engineer Associate


• Google Cloud Certified Professional Data Engineer / Professional Cloud Architect


• AWS Certified Solutions Architect – Professional / Data Analytics – Specialty

Minimum Functional Requirements (Technical Skills & Knowledge)

?    Deep Data Modeling Expertise: Expert-level proficiency in designing and implementing dimensional (Star/Snowflake), Data Vault, and Relational data models, with a clear understanding of the trade-offs between them.

?    Cloud Data Platform Mastery: In-depth knowledge and proven experience designing and deploying scalable data solutions using at least two major cloud platforms (Azure, AWS, or GCP ), including their respective data warehousing, data lake, and compute services.

?    Big Data Ecosystem: Strong hands-on experience with Apache Spark (PySpark/Scala) for large-scale data processing and experience with modern messaging/streaming technologies (e.g., Kafka).

?    Data Governance: Proven ability to implement technical solutions for Metadata Management, Data Lineage, Data Quality (DQ), and Data Observability .

?    Advanced SQL & Programming: Expert proficiency in writing complex, optimized SQL queries and extensive experience in a programming language like Python or Scala for pipeline development.

?    Architecture Frameworks: Practical experience applying Enterprise Architecture methodologies and frameworks, such as TOGAF , to data initiatives.

?    Security & Access Control: Expertise in designing and enforcing fine-grained data access controls, encryption, and data masking techniques across cloud data stores.

?    Technical Skills:  Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

?    Soft Skills:  Excellent communication, collaboration, and problem-solving skills. Ability to work independently and lead a team of technical resources.

Key performance areas

1. Data Architecture Strategy & Design:




• Architectural Blueprint: Design and maintain the conceptual, logical, and physical data models, data dictionaries, and comprehensive data flow diagrams across the enterprise.


• Strategic Alignment: Develop forward-looking data strategies for data warehousing, data mining, and data integration that align with CIPC's business objectives and technological roadmap.


• Tool Evaluation & Selection : Evaluate, recommend, and select appropriate data management tools, technologies, and platforms to ensure optimal performance, scalability, and cost-efficiency.




2. Data Lakehouse Architecture:




• Cloud Architecture: Design and implement a secure, scalable, and highly available Data Lakehouse architecture across multi-cloud platforms (including Azure, AWS, and GCP services like Azure Databricks, AWS Redshift, Google BigQuery, and respective storage solutions).


• Data Pipeline Development : Establish robust, end-to-end data ingestion (batch and streaming) and ELT/ETL pipelines to incorporate diverse data sources into the Data Lakehouse effectively.


• Analytics Enablement : Develop optimized data transformation, processing, and storage solutions tailored for advanced analytics, reporting, and data science workloads.




3. Data Governance & Management




• Governance Frameworks: Define and establish comprehensive data management frameworks for Data Ingestion, Data Lake, Data Warehouse, Data Sharing, Data Analytics, and Data Quality.


• Data Marketplace & Sharing: Design and implement a Data Marketplace architecture to facilitate governed data sharing and collaboration among internal stakeholders, fostering a data-driven culture.


• Quality & Observability: Define and implement data quality monitoring, validation, and improvement processes, including developing data observability solutions to track data health, usage, lineage, and compliance across the entire data ecosystem.


• Metadata Management: Utilize and champion Data Catalog tools for effective data discovery, metadata management, and lineage tracking.




4. Collaboration, Guidance & Compliance




• Stakeholder Engagement: Collaborate proactively with IT, business leaders, and security teams to prioritize data requirements, define service level agreements (SLAs), and develop data governance policies and procedures.


• Mentorship & Support: Provide technical guidance and support to Data Analysts, Data Engineers, and Data Scientists, ensuring the effective and responsible leveraging of data assets.


• Regulatory Compliance: Ensure all data systems and processes comply with relevant regulations, standards, and security policies.

Applicants may, as a step in the recruitment process, be subjected to competency assessment. In addition, the successful candidate must be prepared to undergo a process of security clearance prior to appointment.

Qualifications and SA citizenship checks will be conducted on the successful candidate. It is the applicant’s responsibility to have foreign qualifications evaluated by the South African Qualifications Authority (SAQA).

It will be expected of candidates to be available for selection interviews on a date, time and place as determined by CIPC.

CIPC is an equal opportunity, affirmative action employer. Preference will be given to candidates whose appointment will enhance representation in accordance with the approved employment equity plan.

Feedback will only be given to shortlisted candidates.

CIPC reserves the right not to fill an advertised position.

For further details regarding these positions please click on the link:  or visit the CIPC website at

Kindly note that faxed, emailed, posted and or hand delivered applications will not be considered.

Should you experience any difficulty in applying please contact the CIPC Recruitment Office by dialing: , 7075, 7197 or

Closing date:October 31, 2025

Required Minimum Education / Training

Candidates must meet one of the following requirements :

• Formal Education Pathway (Preferred): Education: Bachelor's Degree / Advanced Diploma in Computer Science, Computer Engineering, Data Analytics, Data Engineering, Statistics/Mathematical Science/Economic Sciences, or a relevant quantitative field.
  

  Required Minimum experience

  
  


• Experience : Minimum 10–15 years of proven experience as a Data Architect, Solutions Architect, or equivalent senior data leadership role, with a strong focus on cloud-native data architecture and governance.


• Cloud Platforms:  Deep understanding of cloud services and technologies relevant to data management and analytics, including Azure, AWS, and Google Cloud.


• Technical Skills:  Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

Specialized Certification and Experience Pathway (Alternative):

Required Minimum Education / Training

• Education : National Diploma in Information Technology or a related technical field.

Required Minimum Experience

• Experience : Minimum 12–17 years of progressive experience in Data Governance, Data cataloging tools, and Data Lakehouse implementation, Data Engineering, and Data Architecture, demonstrating a career trajectory that has built the equivalent strategic and leadership capabilities of a Bachelor's degree holder.


• Mandatory Certifications : The candidate must hold a combination of at least two advanced professional certifications, which must include one strategic framework and one platform-specific architect certification:

1. Strategic Architecture/Governance (MUST include one):

• TOGAF Certification (e.g., TOGAF 9 Certified or equivalent)


• Certified Data Management Professional (CDMP) (at Professional or Master level)

1. Cloud Platform/Engineering (MUST include one):

• Databricks Certified Data Engineer (Associate or Professional)


• Microsoft Certified: Azure Solutions Architect Expert / Azure Data Engineer Associate


• Google Cloud Certified Professional Data Engineer / Professional Cloud Architect


• AWS Certified Solutions Architect – Professional / Data Analytics – Specialty

Minimum Functional Requirements (Technical Skills & Knowledge)

?   Deep Data Modeling Expertise:  Expert-level proficiency in designing and implementing dimensional (Star/Snowflake), Data Vault, and Relational data models, with a clear understanding of the trade-offs between them.

?   Cloud Data Platform Mastery:  In-depth knowledge and proven experience designing and deploying scalable data solutions using at least two major cloud platforms (Azure, AWS, or GCP ), including their respective data warehousing, data lake, and compute services.

?   Big Data Ecosystem:  Strong hands-on experience with Apache Spark (PySpark/Scala)  for large-scale data processing and experience with modern messaging/streaming technologies (e.g., Kafka).

?   Data Governance:  Proven ability to implement technical solutions for Metadata Management, Data Lineage, Data Quality  (DQ), and Data Observability .

?   Advanced SQL & Programming:  Expert proficiency in writing complex, optimized SQL queries and extensive experience in a programming language like Python or Scala for pipeline development.

?   Architecture Frameworks:  Practical experience applying Enterprise Architecture methodologies and frameworks, such as TOGAF , to data initiatives.

?   Security & Access Control:  Expertise in designing and enforcing fine-grained data access controls, encryption, and data masking techniques across cloud data stores.

?   Technical Skills:  Strong knowledge of data modeling, ETL/ELT processes, data warehousing, and data governance best practices. Proficiency in SQL, Python, Spark, and other relevant programming languages and tools.

?   Soft Skills:  Excellent communication, collaboration, and problem-solving skills. Ability to work independently and lead a team of technical resources.

South African Technology & Innovation Centre (
SATIC
) is the latest part of PwC, a global brand delivering services for the biggest clients in the world. PwC leads the way in human led, technology enabled professional services, working with clients to transform their business and make it fit for the future.

We are looking for candidates who bring in-depth market experience, who see technology as a way to enable and drive human innovation and who want to be a part of a community of solvers, to tackle the biggest challenges in society.

If you are looking for a career where every day is different, where challenges are complex and where you can make a real difference, then we want to hear from you. By choosing to join SATIC, you are choosing to work with teams all over the world, harnessing the power of world leading tech and making a difference to real people's lives.

Requirements:

Qualifications / Certifications:

• Bachelor's degree in Computer Science, Information Technology, Data Science, or equivalent experience.
• Certifications in Data Management Professional, AWS Certified Big would be advantageous.

Experience & Skills:

• Experience: Minimum of 3-5 years of experience in data architecture, data management, or related roles within a complex enterprise environment.
• Proficient in data modeling techniques and tools (e.g., ERwin, Microsoft Visio), and strong knowledge of database management systems (e.g., SQL, NoSQL) and data warehousing concepts.
• Familiarity with data governance principles, data quality frameworks, and cloud data platforms.
• Excellent communication and interpersonal skills to engage effectively with technical and non-technical stakeholders.
• Strong analytical and problem-solving skills, fostering a proactive approach to data management challenges.
• Ability to work collaboratively within a cross-functional team environment, embodying the urgency and empathy that our culture promotes.

Responsibilities:

Data Architecture Design:

• Develop and maintain scalable and secure data architecture frameworks and patterns that align with the firm's strategic objectives and operational needs.
• Design and implement robust data models and patterns that optimize data storage, retrieval, and transformation processes, promoting high data quality and availability.

Data Governance and Quality:

• Collaborate with the Data Governance and Quality team to establish and enforce data governance policies, standards, and practices, ensuring compliance with regulatory requirements and internal policies.
• Implement data quality controls and best practices to maintain the integrity and reliability of data assets, enhancing trust among stakeholders.

Collaboration and Stakeholder Engagement:

• Work with various teams, including Application Architects, Data Engineers, and business units, to gather requirements and understand data needs.
• Facilitate discussions to articulate data-related challenges and opportunities, promoting a collaborative approach to data management.

Technology Evaluation and Implementation:

• Evaluate emerging data technologies, tools, and trends to recommend optimal solutions that leverage the power of data analysis and enhance decision-making capabilities.
• Lead the integration of cloud data platforms (e.g., AWS, Azure, Google Cloud) and on-premises solutions to create a unified data architecture.

Continuous Improvement and Innovation:

• Identify opportunities for process improvements within data architecture practices, promoting a culture of continuous innovation and adaptation.
• Champion the use of AI-assisted tools to enhance data analytics, reporting, and visualization capabilities.

Documentation and Reporting:

• Prepare and maintain comprehensive documentation related to data architecture, including data models, workflows, and governance practices.
• Report on architecture initiatives, data governance status, and compliance to senior management, highlighting key metrics and areas for enhancement.

Training and Knowledge Sharing:

• Mentor junior team members and foster knowledge sharing across the Africa Tech and Digital team, contributing to collective expertise in data architecture and management.
• Advocate for data literacy within the organization, providing training and resources to ensure that all employees understand the importance of data quality and governance.

Support and Troubleshooting:

• Collaborate with relevant teams to troubleshoot data-related issues, ensuring high availability and performance of data systems.
• Analyze incidents to identify root causes and implement preventive measures to reduce future occurrences, showing a commitment to continuous excellence.

Role overview:

As a Data Architect at the Manager Level within the Africa Tech team, you will be responsible for designing and optimizing the firm's data architecture to support strategic goals and enhance business decision-making processes. You will work collaboratively with cross-functional teams to ensure that data assets are well-governed and accessible. Your role will emphasize innovation, continuous improvement, and leveraging AI-assisted tools to transform data into actionable insights while fostering a shared commitment to excellence.