388 Data Architecture jobs in South Africa

Overview

Business Segment: Personal & Private Banking

Location: ZA, GP, Johannesburg, 30 Baker Street

Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems.
• Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions.
• Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology
• Experience Required
• Data Monetisation
• Data & Analytics
• 5-7 years
• Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• 5-7 years
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
• 5-7 years
• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Overview

Provide infrastructure, tools and frameworks used to deliver end-to-end solutions to business problems. Build scalable infrastructure for supporting the delivery of clear business insights from raw data sources; with a focus on collecting, managing, analysing, visualising data and developing analytical solutions. Responsible for expanding and optimising Standard Bank's data and data pipeline architecture, whilst optimising data flow and collection to ultimately support data initiatives.

• Provide infrastructure, tools and frameworks that enable end-to-end solutions for business problems.
• Build scalable infrastructure to collect, manage, analyse and visualise data; develop analytical solutions.
• Expand and optimise data and data pipeline architecture; improve data flow and data collection to support data initiatives.
• Collaborate with teams to implement data-informed solutions and insights.

• Type of Qualification: First Degree
• Field of Study: Information Studies
• Type of Qualification: First Degree
• Field of Study: Information Technology
• Experience Required: Data Monetisation, Data & Analytics
• Experience: 5-7 years
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Strong analytic skills related to working with unstructured datasets.
• Experience building data transformations, structures, metadata, dependency and workload management.
• Proven ability to manipulate, process and extract value from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and scalable big data data stores.
• Working SQL knowledge and experience with relational databases; proficiency in query authoring and familiarity with various databases.
• Experience building and optimizing big data pipelines, architectures and data sets; experience performing root cause analysis to drive improvements.

• Adopting Practical Approaches
• Articulating Information
• Challenging Ideas
• Checking Things
• Examining Information
• Exploring Possibilities
• Interpreting Data
• Meeting Timescales
• Producing Output
• Providing Insights
• Team Working
• Upholding Standards

• Data Analysis
• Database Administration
• Data Integrity
• Knowledge Classification

• Mid-Senior level

• Full-time

• Information Technology

Overview

Business Segment: Insurance & Asset Management

Location: ZA, GP, Roodepoort, Ellis Street 4

This role resides within Standard Insurance Limited Data management and Insights and requires the incumbent to provide data management support to Actuarial, Personal lines, Commercial and Finance. Responsible for data analysis, expanding and optimising data flow and collection to ultimately support data initiatives.

• Type of Qualification: Bachelor’s degree in Statistics, Computer Science, Mathematics, Business, or related field. Advanced degrees or certifications in data analysis, data management
• Other Preferred Qualifications, certifications or professional memberships : Data related certifications, SAS, Microsoft SQL server
• Experience Required: SQL, SAS or any related programming language (knowledge for querying, data extraction, and manipulation across databases.)
• Experience with data visualization tools such as PowerBi
• Basic accounting knowledge
• Business analysis and project management
• Data Quality and metadata management
• Strong analytical and troubleshooting abilities, with a keen attention to detail.
• Ability to think critically and resolve complex data issues efficiently.
• Proven experience identifying and addressing root causes of data discrepancies.

We are seeking a highly skilled Data Management Specialist to join our financial services team. The ideal candidate will play a pivotal role in managing and enhancing data governance, quality, and architecture to support regulatory compliance, business insights, and operational efficiency.

• Develop and implement data management strategies aligned with business objectives and regulatory requirements.

• Establish and maintain data governance frameworks, policies, and standards.

• Monitor and ensure data quality, integrity, and accuracy across systems.

• Collaborate with stakeholders to define data requirements and metadata standards.

• Support the design and implementation of data architecture and integration solutions.

• Manage data lineage, classification, and cataloging processes.

• Drive continuous improvement in data processes and tools.

• Ensure compliance with data protection regulations and financial services standards.

• Bachelors degree in Information Systems, Data Science, or a related field.

• Proven experience in data management within the financial services sector.

• Strong knowledge of data governance, data quality, and metadata management.

• Familiarity with data architecture and regulatory frameworks (e.g., BCBS 239, GDPR, POPIA).

• Proficiency in data management tools and technologies (e.g., Collibra, Informatica, Microsoft Purview).

• Excellent analytical, communication, and stakeholder engagement skills.

• Relevant certifications (e.g., DAMA, DCAM).

• Experience in change management and data-driven digital transformation.

Summary

Head of Data Management

Our client is seeking a Head : Data Management to lead their data operations, sales, and marketing strategy, driving innovation and ensuring operational excellence. This executive role is based at the client’s offices in Midrand , Johannesburg.

This is a six-month contract position.

Minimum Requirements :

• A minimum of an NQF Level 7 (or higher) qualification in , , Human Resources, Project Management, or another relevant field.
• Minimum of 10 years’ senior executive-level and stable working experience.
• Proven expertise in operations management, strategic planning, and organisational effectiveness.
• Strong knowledge of financial management, human resources, and project management principles.
• Advanced IT and data management knowledge with a deep understanding of compliance and governance requirements.
• Demonstrated strategic leadership, negotiation, and people management skills.
• Strong ability to manage complex stakeholder relationships and a challenging customer base.
• Willingness to travel domestically to member institutions and clients.

Data Management

• Develop and implement data management and governance policies and procedures.
• Oversee the accuracy, security, and completeness of data assets.
• Ensure compliance with legal frameworks, including the POPI Act.
• Manage relationships with universities, TVETs, banks, background screening companies, alumni, and other key stakeholders.
• Lead and mentor the data management team, fostering excellence and accountability.

Sales and Marketing

• Design and implement strategies to achieve sales and revenue growth.
• Build and maintain relationships with existing and potential clients to generate income.
• Market and promote the company’s services across target markets.
• Oversee divisional marketing and communications plans, ensuring brand alignment.
• Develop and manage strategic partnerships, alliances, and new contracts with higher education institutions.

Leadership & Operations

• Provide strategic leadership to ensure organisational effectiveness and financial sustainability.
• Review financial data with the Finance Manager to improve profitability and ensure operational budgets are aligned with strategy.
• Recruit, develop, and lead a high-performing team.
• Ensure compliance with regulatory and operational frameworks while driving continuous improvement and innovation.

Submissions for this vacancy will close on 25 August 2025, however you will still have the opportunity to submit your CV for this position till 18 September 2025.

Thank you for submitting your CV to Marvel Placement Consultants. We value your submission, and we try our utmost best to get back to each applicant. However, should your application be successful, we will be in contact with you. Should you not hear from us within two weeks of application,

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Key Responsibilities:

Data Catalog Development

• Lead the implementation and continuous improvement of the enterprise data catalog.

• Ensure metadata is accurately captured, maintained, and accessible to stakeholders.

Data Quality Management

• Define and implement data quality metrics and reporting frameworks.

• Oversee the creation of automated data quality reports and dashboards.

• Collaborate with data stewards and owners to resolve data quality issues.

Role-Based Security Access

• Design and enforce role-based access control (RBAC) policies across data platforms.

• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).

Data Marketplace Design

• Lead the design and rollout of a self-service data marketplace.

• Ensure data assets are discoverable, well-documented, and governed.

• Analytics Solution Design Support

• Collaborate with data architects and engineers to support the design of scalable, secure, and high-performing analytics solutions.

• Ensure alignment between data management practices and analytics architecture.

Leadership & Governance

• Define and promote data management best practices across the organization.

• Mentor team members and foster a culture of data literacy and accountability.

• Participate in data governance councils and strategic planning initiatives.

Knowledge and Attributes:

• Excellent understanding of data modelling, statistical methods and machine learning techniques.
• Excellent ability to thrive in a dynamic, fast-paced environment.
• Strong quantitative and qualitative analysis skills.
• Strong desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
• Strong curiosity to sift through data to find answers and more insights.
• Excellent understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
• Excellent ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
• Excellent ability to create a storyline around the data to make it easy to interpret and understand.
• Self-driven and able to work independently yet acts as a team player.
• Excellent ability to apply data science principles through a business lens.
• Strong desire to create strategies and solutions that challenge and expand the thinking of peers and senior leadership teams.
• Excellent ability to think strategically about how to use data to drive competitive advantages.
• Excellent management and leadership skills.

Academic Qualifications and Certifications:

• Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
• Agile certification preferred.
• Certifications in data management or governance (e.g., CDMP, DAMA).
• Experience with modern data platforms (e.g., Snowflake, Databricks).
• Familiarity with BI and analytics tools (e.g., Power BI, Tableau).

Required experience:

• Bachelor’s or Master’s degree in Information Systems, Computer Science, or related field.
• 7+ years of experience in data management, data governance, or enterprise data architecture.
• Proven experience with:
  • Data catalog tools (e.g., Collibra, Alation, Microsoft Purview)
  • Data quality tools (e.g., Informatica, Talend, Great Expectations)
  • RBAC and data security frameworks
  • Cloud platforms (Azure, AWS, or GCP)
  • Data marketplace concepts and tools
• Strong understanding of data governance, metadata management, and regulatory compliance.

Workplace type:

About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.

Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Overview

Join to apply for the Accounting Data Management Analyst role at MRI Software . We are looking for an entry-level Data Management Analyst to join our team focused on our Investment Suite located in Cape Town, South Africa. This role will focus on and provide administrative support for clients’ use of MRI's in-house software applications.

We are looking for a detail-oriented professional to collect data and documents from various sources and process monthly, quarterly, and annual financials as well as provide ongoing client training. You will maintain timely communication with clients, ensuring accurate and efficient data collection and processing of financial documents (Interims, Audits, Tax Returns, Budgets, Rent Rolls, etc.). You will be responsible for using in-house software to process data within designated SLAs, while delivering exceptional client service that exceeds expectations. Strong accountability and frequent collaboration with both clients and the internal team are essential.

• Collect and organize data and documents from various sources
• Accurately process and review financial source documents, including Interims, Audits, Tax Returns, Budgets, and Rent Rolls
• Maintain timely, professional communication with clients and internal teams
• Take accountability for ensuring data is processed within required SLAs
• Use and maintain in-house data processing software
• Validate the collection and accuracy of financial documents
• Run client and internal training sessions when required

• Bachelor’s Degree in Finance, Accounting, Real Estate, Business Administration or a related field
• 1 – 3 year’s experience in a similar role
• High attention to detail
• High level of accountability and collaboration
• Experience with Microsoft Excel
• Experience with MS SQL is an advantage
• Excellent written and verbal communication skills
• Knowledge of Finance and/or Accounting Principles

• Office lifestyle perks including breakfasts, quarterly lunches and virtual social events; employee-led groups such as DEI, Women and Allies, and Pride Event Group
• Medical Aid Scheme
• Competitive Personal Pension plan
• MRI Software Parental Leave benefit
• 25 days of annual leave plus public holidays, plus 16 hours of Flex Time Off
• Tuition Reimbursement Schemes
• Flexibility to work from anywhere in the world for two weeks per year

MRI continues to strive to amaze as a global industry leader in real estate software. Diversity, Equality and Inclusion are values that are critical to our success; MRI Software is committed to being an inclusive employer for all employees and applicants.

Overview

From the day we opened our doors in 1971, MRI Software has built flexible, game-changing real estate software solutions to improve people’s lives. We hire the absolute best employees to carry out that mission. We operate a hybrid working model with 3 days of working from home per week. This role is based in the Cape Town office.

Position Overview:

We are looking for an entry-level Data Management Analyst to join our team focused on our Investment Suite located in Cape Town, South Africa. This role will focus on and provide administrative support for clients' use of MRI's in-house software applications. You will collect data and documents from various sources, process monthly, quarterly, and annual financials, and provide ongoing client training. You will maintain timely communication with clients, ensuring accurate and efficient data collection and processing of financial documents (Interims, Audits, Tax Returns, Budgets, Rent Rolls, etc.). You will use in-house software to process data within designated SLAs while delivering exceptional client service. Strong accountability and frequent collaboration with both clients and the internal team are essential.

• Collect and organize data and documents from various sources
• Accurately process and review financial source documents, including Interims, Audits, Tax Returns, Budgets, and Rent Rolls
• Maintain timely, professional communication with clients and internal teams
• Take accountability for ensuring data is processed within required SLAs
• Use and maintain in-house data processing software
• Validate the collection and accuracy of financial documents
• Run client and internal training sessions when required

• Bachelor's Degree in Finance, Accounting, Real Estate, Business Administration or a related field
• 1 - 3 years' experience in a similar role
• High attention to detail
• High level of accountability and collaboration
• Experience with Microsoft Excel
• Experience with MS SQL is an advantage
• Excellent written and verbal communication skills
• Knowledge of Finance and/or Accounting Principles

• Office breakfasts, quarterly lunches and virtual social events; employee-led groups such as DEI committees and Pride Event Group
• Medical Aid Scheme
• Competitive Personal Pension plan
• MRI Software Parental Leave benefit
• 25 days of annual leave plus public holidays, plus 16 hours of Flex Time Off
• Tuition Reimbursement Schemes
• Flexible work location: two weeks away per year working from anywhere in the world

MRI continues to strive to amaze as a global industry leader in real estate software. Diversity, Equality and Inclusion are values that are critical to our success; MRI Software is committed to being an inclusive employer regardless of ethnicity, religion, sexual orientation, gender identity, disability, age, military and veteran status.

Overview

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Adapt and Execute on Data and Information Governance requirements such as exercising data ownership and ensuring that high standard of data quality is upheld. Responsible for ensuring that data and information is used, accessed and stored according to data and information governance requirements, policies, standards, processes and procedures.

Personal and Private Banking

Experience

• Minimum 5-7 years of experience in data management within the financial sector, with exposure to information risk management. Experience in data / information systems within financial services. Experience in engaging with multiple stakeholders across a variety of disciplines. Proven track record in extracting value from using data to achieve tangible financial outputs.

Technical Skills: Proficient in SQL (ability to read and write SQL) and Teradata.

Analytical Mindset: Strong problem-solving skills with a proven track record in leveraging data for financial impact.

Stakeholder Engagement: Ability to work cross-functionally and communicate effectively with PEXCO members and business leaders.

Type of Qualification: Bachelor’s degree

Field of Study: Computer Science, Information Technology, Information Management, or a related field (BCom with IT specialization or BSc in Computer Science preferred).

Behavioral Competencies:

• Convincing People
• Developing Expertise
• Embracing Change
• Establishing Rapport
• Exploring Possibilities
• Following Procedures
• Interacting with People
• Making Decisions
• Managing Tasks
• Providing Insights
• Resolving Conflict
• Taking Action

Technical Competencies:

• Banking Process & Procedures
• Operations Risk Management
• Organisation Planning and Design
• Planning, Forecasting and Budgeting
• Risk Identification
• Workforce Insights
• Workforce Planning