93 Data Architects jobs in South Africa

Data Architects & Data Engineers (AWS)

New
Johannesburg, Gauteng Hire Resolve

Posted today

Job Viewed

Tap Again To Close

Job Description

A leading technology solutions provider, is urgently seeking experienced Data Architects and Data Engineers based in Johannesburg, Gauteng to support upcoming projects focused on AWS-based data infrastructure. Responsibilities: Data Architects Design scalable, secure, and high-performance cloud-based data architectures on AWS Define data governance, security policies, and best practices for cloud-based systems Collaborate with stakeholders to understand business needs and translate them into data solutions Evaluate and recommend tools, frameworks, and technologies for cloud data environments Data Engineers Build and maintain robust data pipelines and ETL/ELT workflows in AWS Integrate diverse data sources and ensure data quality and integrity Optimize performance of data systems for analytics and reporting Work closely with Data Architects, Analysts, and Developers to support data-driven initiatives Requirements: 3 years of experience in Data Engineering or Data Architecture roles Strong, hands-on expertise with AWS (e.g., S3, Redshift, Glue, Lambda, EMR, Athena, etc.) Solid understanding of cloud-based data warehousing, data lakes, and data modeling Proficient in SQL and scripting languages such as Python Experience with CI/CD and data pipeline automation tools is an advantage Strong problem-solving and communication skills Ability to work independently in a remote-first environment Contact Hire Resolve for your next career-changing move. Our client is offering a highly competitive salary for this role based on experience. Apply for this role today, contact Sonique Beetge at or on LinkedIn You can also visit the Hire Resolve website: hireresolve.us or email us your CV:
This advertiser has chosen not to accept applicants from your region.

Data architects & data engineers (aws)

Johannesburg, Gauteng Hire Resolve

Posted today

Job Viewed

Tap Again To Close

Job Description

permanent
A leading technology solutions provider, is urgently seeking experienced Data Architects and Data Engineers based in Johannesburg, Gauteng to support upcoming projects focused on AWS-based data infrastructure.

Responsibilities: Data Architects Design scalable, secure, and high-performance cloud-based data architectures on AWS Define data governance, security policies, and best practices for cloud-based systems Collaborate with stakeholders to understand business needs and translate them into data solutions Evaluate and recommend tools, frameworks, and technologies for cloud data environments Data Engineers Build and maintain robust data pipelines and ETL/ELT workflows in AWS Integrate diverse data sources and ensure data quality and integrity Optimize performance of data systems for analytics and reporting Work closely with Data Architects, Analysts, and Developers to support data-driven initiatives Requirements: 3 years of experience in Data Engineering or Data Architecture roles Strong, hands-on expertise with AWS (e.g., S3, Redshift, Glue, Lambda, EMR, Athena, etc.) Solid understanding of cloud-based data warehousing, data lakes, and data modeling Proficient in SQL and scripting languages such as Python Experience with CI/CD and data pipeline automation tools is an advantage Strong problem-solving and communication skills Ability to work independently in a remote-first environment Contact Hire Resolve for your next career-changing move.

Our client is offering a highly competitive salary for this role based on experience.

Apply for this role today, contact Sonique Beetge at or on Linked In You can also visit the Hire Resolve website: hireresolve.us or email us your CV:
This advertiser has chosen not to accept applicants from your region.

Data Architects & Data Engineers (AWS) – Remote

New
Gauteng, Gauteng Hire Resolve

Posted today

Job Viewed

Tap Again To Close

Job Description

A leading technology solutions provider, is urgently seeking experienced Data Architects and Data Engineers based in Johannesburg, Gauteng to support upcoming projects focused on AWS-based data infrastructure. Responsibilities: Data Architects Design scalable, secure, and high-performance cloud-based data architectures on AWS Define data governance, security policies, and best practices for cloud-based systems Collaborate with stakeholders to understand business needs and translate them into data solutions Evaluate and recommend tools, frameworks, and technologies for cloud data environments Data Engineers Build and maintain robust data pipelines and ETL/ELT workflows in AWS Integrate diverse data sources and ensure data quality and integrity Optimize performance of data systems for analytics and reporting Work closely with Data Architects, Analysts, and Developers to support data-driven initiatives Requirements: 3 years of experience in Data Engineering or Data Architecture roles Strong, hands-on expertise with AWS (e.g., S3, Redshift, Glue, Lambda, EMR, Athena, etc.) Solid understanding of cloud-based data warehousing, data lakes, and data modeling Proficient in SQL and scripting languages such as Python Experience with CI/CD and data pipeline automation tools is an advantage Strong problem-solving and communication skills Ability to work independently in a remote-first environment Contact Hire Resolve for your next career-changing move. Our client is offering a highly competitive salary for this role based on experience. Apply for this role today, contact Gaby Turner at or on LinkedIn You can also visit the Hire Resolve website: hireresolve.us or email us your CV:
This advertiser has chosen not to accept applicants from your region.

Data architects & data engineers (aws) – remote

Gauteng, Gauteng Hire Resolve

Posted today

Job Viewed

Tap Again To Close

Job Description

permanent
A leading technology solutions provider, is urgently seeking experienced Data Architects and Data Engineers based in Johannesburg, Gauteng to support upcoming projects focused on AWS-based data infrastructure.

Responsibilities: Data Architects Design scalable, secure, and high-performance cloud-based data architectures on AWS Define data governance, security policies, and best practices for cloud-based systems Collaborate with stakeholders to understand business needs and translate them into data solutions Evaluate and recommend tools, frameworks, and technologies for cloud data environments Data Engineers Build and maintain robust data pipelines and ETL/ELT workflows in AWS Integrate diverse data sources and ensure data quality and integrity Optimize performance of data systems for analytics and reporting Work closely with Data Architects, Analysts, and Developers to support data-driven initiatives Requirements: 3 years of experience in Data Engineering or Data Architecture roles Strong, hands-on expertise with AWS (e.g., S3, Redshift, Glue, Lambda, EMR, Athena, etc.) Solid understanding of cloud-based data warehousing, data lakes, and data modeling Proficient in SQL and scripting languages such as Python Experience with CI/CD and data pipeline automation tools is an advantage Strong problem-solving and communication skills Ability to work independently in a remote-first environment Contact Hire Resolve for your next career-changing move.

Our client is offering a highly competitive salary for this role based on experience.

Apply for this role today, contact Gaby Turner at or on Linked In You can also visit the Hire Resolve website: hireresolve.us or email us your CV:
This advertiser has chosen not to accept applicants from your region.

Data Warehousing Specialist | Centurion

Centurion, Gauteng The Recruitment Council

Posted 21 days ago

Job Viewed

Tap Again To Close

Job Description

Join a leading Financial Services firm in their quest for excellence! Are you a skilled Data Warehousing Specialist seeking an exciting opportunity to make a significant impact? Our client, a prominent player in the financial industry, is actively seeking a talented professional like yourself to join their dynamic team. You will need to establish and lead a world-class data analytics/warehouse capability for the company to enable future needs for advanced analytics and AI.

Maintain and support:

  • Existing MIS databases.
  • Existing reports and dashboards.
  • Existing data warehouses.

Develop, test, deploy, maintain and support: new databases, and reporting, data warehouse and business intelligence applications from high-level business requirements and designs, through the Software Development Life Cycle.

Remain informed about developments and trends in the data enablement field to assist the business to keep its data analytics and management capability up-to-date, and able to meet the future needs of the business in a constantly maturing and increasingly complex short-term insurance industry.

Outputs:

Internal Process:

  • Collaborate with Project Managers and Business Leaders to deliver quality, effective management information, data warehouse and business intelligence applications, in line with the agreed development process and business needs.
  • Collaborate with stakeholders to gather requirements, conduct analysis and prioritise requests.
  • Conduct research and evaluate potential technical solutions to identified business problems.
  • Translate business requirements into workable solutions and document solutions into technical specifications, partnering with Business and/or System Analysts when required.
  • Design and code new database and analytics functionality using code that is readable, maintainable and reusable.
  • Conduct Unit Testing of own code and resolve all issues/queries timeously.
  • Contribute to user acceptance testing (UAT) to ensure that functionality is working correctly.
  • Deliver solutions into the applicable production environment once testing has been completed.
  • Provide stakeholders with regular feedback on the technical design and timelines for solution ensuring that business needs are met.
  • Maintain existing databases and applications according to change requests approved by business as and when needed.
  • Diagnose root causes of issues through problem-solving and recommend potential solutions.
  • Monitor performance of solutions and make recommendations to improve the performance and functionality of the solutions, where appropriate.
  • Log issues found in existing systems as internal change controls and ensure successful resolution of issues.

Responsibilities:

Develop, implement and document Business Intelligence Solutions:

  • Contribute to the overall data warehouse architecture and database designs.
  • Maintain and oversee the administration and maintenance of the data warehouse.
  • Develop and maintain Business Intelligence and reporting technologies and processes.
  • Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications.
  • Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications.
  • Develop feasible technical specifications and process flows for data provision activities in support of the development of business intelligence solutions.
  • Ensure the continued maintenance and enhancement to existing business intelligence solutions.
  • Within user specifications extract, transform and load (ELT) data using the relevant tools.
  • Verify and quality assure of data provided.
  • Provide support to business intelligence users on data-related issues.

Future development and planning:

  • Conduct research and undergo training where appropriate, in order to remain abreast of data enablement trends and understand their application in the short-term insurance industry.
  • Assist management and colleagues to make the right decisions in terms of planning future data enablement infrastructure, architecture and applications in the company short-term insurance business, in alignment with the company’s standards and the South African financial services regulatory framework.

Self-management and Teamwork:

  • Provide authoritative expertise and advice to colleagues.
  • Develop and maintain productive and collaborative working relationships with peers and team members.
  • Deliver on Service Level Agreements made with colleagues.
  • Continuously develop own expertise in terms of industry and subject matter development and application thereof in an area of specialisation.
  • Participate and contribute to a culture of work-centric thinking, productivity, service delivery and quality management.
  • Contribute to continuous innovation through the development, sharing and implementation of new ideas and involvement of peers.
  • Take ownership for driving career development.

Finance:

  • Manage financial and other company resources under your control with due respect.

Competencies:

  • Business Acumen.
  • Client / Stakeholder Commitment.
  • Drive for Results.
  • Leads Change and Innovation.
  • Motivating and Inspiring Team.
  • Collaboration.
  • Impact and Influence.
  • Self-Awareness and Insight.
  • Diversity and Inclusiveness.
  • Growing Talent.

Skills:

  • Communication – articulating information and challenging ideas.
  • Analysing and interpreting data.
  • Problem-solving.
  • Planning and organising – time and task management.

Experience and Qualifications:

  • Relevant IT and data analytics qualifications e.g. B.Tech or B.Sc. (Informatics) – Essential.
  • Dimensional modelling and/or relevant Microsoft certification – Advantageous.
  • On-the-job training/qualifications:
  • Microsoft Sql Server.
  • Oracle.
  • Power BI.
  • Advanced MS Excel.
  • Starquest.

Some experience in predictive analytic platforms will be advantageous. These include:

  • Python.
  • Scala.
  • Spark.
  • AWS Sagemaker.

Some experience in Azure / AWS platform services will be advantageous. These include:

  • Azure SQL elastic instance.
  • Data factory.
  • PowerBI.
  • AWS RDS.

Experience:

  • Methodologies.
  • The candidate must have ability to elicit data requirements from stakeholders.
  • The candidate must have clear documentation skills.

Principles:

  • The candidate must be familiar with design patterns in the data development industry.
  • The candidate must have a solid understanding of Metadata constructs.
  • The candidate must have clear understanding of EDW.
  • Knowledge of Domain driven design would be an advantage.
  • The candidate must be familiar with the concept of Data Marts.
  • The candidate must be familiar with abstraction techniques.

Modelling:

  • The candidate must have proven data modelling techniques (3 years).
  • The candidate must have knowledge and experience in Ralph Kimball data warehouse modelling (3 years).
  • Knowledge of Immon data warehouse modelling techniques would add an advantage.
  • The candidate must have data normalization skills most especially the 2nd Normal form.

Data Transportation:

  • The candidate must have solid experience of ETL systems.
  • The candidate must have solid experience of sourcing, staging and loading.
  • The candidate must be familiar with parallel loading principles.
  • The candidate must be familiar with source to target mapping.

Development Software:

  • The candidate must have advanced knowledge of T-SQL (4 years) and the following concepts.
  • Dynamic T-SQL.
  • Multi-threading.
  • Performance optimisation and tuning.
  • The candidate must have practical experience of SQL Server Database Engine (4 years).
  • The candidate must have practical experience of MS SSIS ETL software (4 years).
  • The candidate must have practical experience of MS SSAS OLAP software (4 years).
  • The candidate must have practical experience of MS Visual Studio Data Tools (4 years).
  • Knowledge of Database Administration would add an advantage.
  • Expert knowledge in configuration of database hardware resources.

Repository type:

  • The candidate must be able to source data from different repositories.
  • The candidate must be fully acquainted with Microsoft SQL Server repository.
  • Knowledge of Data Lake would be an advantage.
  • Knowledge of Oracle would be an advantage.
  • Knowledge of Hadoop is not essential but will also be an advantage.
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.

Data warehousing specialist | centurion

Centurion, Gauteng The Recruitment Council

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

permanent
Join a leading Financial Services firm in their quest for excellence! Are you a skilled Data Warehousing Specialist seeking an exciting opportunity to make a significant impact? Our client, a prominent player in the financial industry, is actively seeking a talented professional like yourself to join their dynamic team. You will need to establish and lead a world-class data analytics/warehouse capability for the company to enable future needs for advanced analytics and AI. Maintain and support: Existing MIS databases. Existing reports and dashboards. Existing data warehouses. Develop, test, deploy, maintain and support: new databases, and reporting, data warehouse and business intelligence applications from high-level business requirements and designs, through the Software Development Life Cycle. Remain informed about developments and trends in the data enablement field to assist the business to keep its data analytics and management capability up-to-date, and able to meet the future needs of the business in a constantly maturing and increasingly complex short-term insurance industry. Outputs: Internal Process: Collaborate with Project Managers and Business Leaders to deliver quality, effective management information, data warehouse and business intelligence applications, in line with the agreed development process and business needs. Collaborate with stakeholders to gather requirements, conduct analysis and prioritise requests. Conduct research and evaluate potential technical solutions to identified business problems. Translate business requirements into workable solutions and document solutions into technical specifications, partnering with Business and/or System Analysts when required. Design and code new database and analytics functionality using code that is readable, maintainable and reusable. Conduct Unit Testing of own code and resolve all issues/queries timeously. Contribute to user acceptance testing (UAT) to ensure that functionality is working correctly. Deliver solutions into the applicable production environment once testing has been completed. Provide stakeholders with regular feedback on the technical design and timelines for solution ensuring that business needs are met. Maintain existing databases and applications according to change requests approved by business as and when needed. Diagnose root causes of issues through problem-solving and recommend potential solutions. Monitor performance of solutions and make recommendations to improve the performance and functionality of the solutions, where appropriate. Log issues found in existing systems as internal change controls and ensure successful resolution of issues. Responsibilities: Develop, implement and document Business Intelligence Solutions: Contribute to the overall data warehouse architecture and database designs. Maintain and oversee the administration and maintenance of the data warehouse. Develop and maintain Business Intelligence and reporting technologies and processes. Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications. Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications. Develop feasible technical specifications and process flows for data provision activities in support of the development of business intelligence solutions. Ensure the continued maintenance and enhancement to existing business intelligence solutions. Within user specifications extract, transform and load (ELT) data using the relevant tools. Verify and quality assure of data provided. Provide support to business intelligence users on data-related issues. Future development and planning: Conduct research and undergo training where appropriate, in order to remain abreast of data enablement trends and understand their application in the short-term insurance industry. Assist management and colleagues to make the right decisions in terms of planning future data enablement infrastructure, architecture and applications in the company short-term insurance business, in alignment with the company’s standards and the South African financial services regulatory framework. Self-management and Teamwork: Provide authoritative expertise and advice to colleagues. Develop and maintain productive and collaborative working relationships with peers and team members. Deliver on Service Level Agreements made with colleagues. Continuously develop own expertise in terms of industry and subject matter development and application thereof in an area of specialisation. Participate and contribute to a culture of work-centric thinking, productivity, service delivery and quality management. Contribute to continuous innovation through the development, sharing and implementation of new ideas and involvement of peers. Take ownership for driving career development. Finance: Manage financial and other company resources under your control with due respect. Competencies: Business Acumen. Client / Stakeholder Commitment. Drive for Results. Leads Change and Innovation. Motivating and Inspiring Team. Collaboration. Impact and Influence. Self-Awareness and Insight. Diversity and Inclusiveness. Growing Talent. Skills: Communication – articulating information and challenging ideas. Analysing and interpreting data. Problem-solving. Planning and organising – time and task management. Experience and Qualifications: Relevant IT and data analytics qualifications e.g. B. Tech or B. Sc. (Informatics) – Essential. Dimensional modelling and/or relevant Microsoft certification – Advantageous. On-the-job training/qualifications: Microsoft Sql Server. Oracle. Power BI. Advanced MS Excel. Starquest. Some experience in predictive analytic platforms will be advantageous. These include: Python. Scala. Spark. AWS Sagemaker. Some experience in Azure / AWS platform services will be advantageous. These include: Azure SQL elastic instance. Data factory. Power BI. AWS RDS. Experience: Methodologies. The candidate must have ability to elicit data requirements from stakeholders. The candidate must have clear documentation skills. Principles: The candidate must be familiar with design patterns in the data development industry. The candidate must have a solid understanding of Metadata constructs. The candidate must have clear understanding of EDW. Knowledge of Domain driven design would be an advantage. The candidate must be familiar with the concept of Data Marts. The candidate must be familiar with abstraction techniques. Modelling: The candidate must have proven data modelling techniques (3 years). The candidate must have knowledge and experience in Ralph Kimball data warehouse modelling (3 years). Knowledge of Immon data warehouse modelling techniques would add an advantage. The candidate must have data normalization skills most especially the 2nd Normal form. Data Transportation: The candidate must have solid experience of ETL systems. The candidate must have solid experience of sourcing, staging and loading. The candidate must be familiar with parallel loading principles. The candidate must be familiar with source to target mapping. Development Software: The candidate must have advanced knowledge of T-SQL (4 years) and the following concepts. Dynamic T-SQL. Multi-threading. Performance optimisation and tuning. The candidate must have practical experience of SQL Server Database Engine (4 years). The candidate must have practical experience of MS SSIS ETL software (4 years). The candidate must have practical experience of MS SSAS OLAP software (4 years). The candidate must have practical experience of MS Visual Studio Data Tools (4 years). Knowledge of Database Administration would add an advantage. Expert knowledge in configuration of database hardware resources. Repository type: The candidate must be able to source data from different repositories. The candidate must be fully acquainted with Microsoft SQL Server repository. Knowledge of Data Lake would be an advantage. Knowledge of Oracle would be an advantage. Knowledge of Hadoop is not essential but will also be an advantage. #J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.

Data warehousing specialist | centurion

Centurion, Gauteng The Recruitment Council

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

permanent
Join a leading Financial Services firm in their quest for excellence! Are you a skilled Data Warehousing Specialist seeking an exciting opportunity to make a significant impact? Our client, a prominent player in the financial industry, is actively seeking a talented professional like yourself to join their dynamic team. You will need to establish and lead a world-class data analytics/warehouse capability for the company to enable future needs for advanced analytics and AI. Maintain and support: Existing MIS databases. Existing reports and dashboards. Existing data warehouses. Develop, test, deploy, maintain and support: new databases, and reporting, data warehouse and business intelligence applications from high-level business requirements and designs, through the Software Development Life Cycle. Remain informed about developments and trends in the data enablement field to assist the business to keep its data analytics and management capability up-to-date, and able to meet the future needs of the business in a constantly maturing and increasingly complex short-term insurance industry. Outputs: Internal Process: Collaborate with Project Managers and Business Leaders to deliver quality, effective management information, data warehouse and business intelligence applications, in line with the agreed development process and business needs. Collaborate with stakeholders to gather requirements, conduct analysis and prioritise requests. Conduct research and evaluate potential technical solutions to identified business problems. Translate business requirements into workable solutions and document solutions into technical specifications, partnering with Business and/or System Analysts when required. Design and code new database and analytics functionality using code that is readable, maintainable and reusable. Conduct Unit Testing of own code and resolve all issues/queries timeously. Contribute to user acceptance testing (UAT) to ensure that functionality is working correctly. Deliver solutions into the applicable production environment once testing has been completed. Provide stakeholders with regular feedback on the technical design and timelines for solution ensuring that business needs are met. Maintain existing databases and applications according to change requests approved by business as and when needed. Diagnose root causes of issues through problem-solving and recommend potential solutions. Monitor performance of solutions and make recommendations to improve the performance and functionality of the solutions, where appropriate. Log issues found in existing systems as internal change controls and ensure successful resolution of issues. Responsibilities: Develop, implement and document Business Intelligence Solutions: Contribute to the overall data warehouse architecture and database designs. Maintain and oversee the administration and maintenance of the data warehouse. Develop and maintain Business Intelligence and reporting technologies and processes. Translate stakeholder requirements into technical specifications for Business Intelligence (BI) reports and applications. Design and develop reports and dashboards based on Business Requirements Document (BRD) and customer specifications. Develop feasible technical specifications and process flows for data provision activities in support of the development of business intelligence solutions. Ensure the continued maintenance and enhancement to existing business intelligence solutions. Within user specifications extract, transform and load (ELT) data using the relevant tools. Verify and quality assure of data provided. Provide support to business intelligence users on data-related issues. Future development and planning: Conduct research and undergo training where appropriate, in order to remain abreast of data enablement trends and understand their application in the short-term insurance industry. Assist management and colleagues to make the right decisions in terms of planning future data enablement infrastructure, architecture and applications in the company short-term insurance business, in alignment with the company’s standards and the South African financial services regulatory framework. Self-management and Teamwork: Provide authoritative expertise and advice to colleagues. Develop and maintain productive and collaborative working relationships with peers and team members. Deliver on Service Level Agreements made with colleagues. Continuously develop own expertise in terms of industry and subject matter development and application thereof in an area of specialisation. Participate and contribute to a culture of work-centric thinking, productivity, service delivery and quality management. Contribute to continuous innovation through the development, sharing and implementation of new ideas and involvement of peers. Take ownership for driving career development. Finance: Manage financial and other company resources under your control with due respect. Competencies: Business Acumen. Client / Stakeholder Commitment. Drive for Results. Leads Change and Innovation. Motivating and Inspiring Team. Collaboration. Impact and Influence. Self-Awareness and Insight. Diversity and Inclusiveness. Growing Talent. Skills: Communication – articulating information and challenging ideas. Analysing and interpreting data. Problem-solving. Planning and organising – time and task management. Experience and Qualifications: Relevant IT and data analytics qualifications e.g. B. Tech or B. Sc. (Informatics) – Essential. Dimensional modelling and/or relevant Microsoft certification – Advantageous. On-the-job training/qualifications: Microsoft Sql Server. Oracle. Power BI. Advanced MS Excel. Starquest. Some experience in predictive analytic platforms will be advantageous. These include: Python. Scala. Spark. AWS Sagemaker. Some experience in Azure / AWS platform services will be advantageous. These include: Azure SQL elastic instance. Data factory. Power BI. AWS RDS. Experience: Methodologies. The candidate must have ability to elicit data requirements from stakeholders. The candidate must have clear documentation skills. Principles: The candidate must be familiar with design patterns in the data development industry. The candidate must have a solid understanding of Metadata constructs. The candidate must have clear understanding of EDW. Knowledge of Domain driven design would be an advantage. The candidate must be familiar with the concept of Data Marts. The candidate must be familiar with abstraction techniques. Modelling: The candidate must have proven data modelling techniques (3 years). The candidate must have knowledge and experience in Ralph Kimball data warehouse modelling (3 years). Knowledge of Immon data warehouse modelling techniques would add an advantage. The candidate must have data normalization skills most especially the 2nd Normal form. Data Transportation: The candidate must have solid experience of ETL systems. The candidate must have solid experience of sourcing, staging and loading. The candidate must be familiar with parallel loading principles. The candidate must be familiar with source to target mapping. Development Software: The candidate must have advanced knowledge of T-SQL (4 years) and the following concepts. Dynamic T-SQL. Multi-threading. Performance optimisation and tuning. The candidate must have practical experience of SQL Server Database Engine (4 years). The candidate must have practical experience of MS SSIS ETL software (4 years). The candidate must have practical experience of MS SSAS OLAP software (4 years). The candidate must have practical experience of MS Visual Studio Data Tools (4 years). Knowledge of Database Administration would add an advantage. Expert knowledge in configuration of database hardware resources. Repository type: The candidate must be able to source data from different repositories. The candidate must be fully acquainted with Microsoft SQL Server repository. Knowledge of Data Lake would be an advantage. Knowledge of Oracle would be an advantage. Knowledge of Hadoop is not essential but will also be an advantage. #J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.
Be The First To Know

About the latest Data architects Jobs in South Africa !

Data Architect

New
Stellenbosch, Western Cape Capitec Bank Ltd.

Posted today

Job Viewed

Tap Again To Close

Job Description

Press Tab to Move to Skip to Content Link

Select how often (in days) to receive an alert:

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:

1.To see what life at Capitec is all about and complete a short assessment, pleaseclick here!

2. Once you have completed the above finalize your application by clicking apply below.

We appoint energized and motivated people for their potentialandcontinuously look fortalented, driven individualstohelp usinnovate 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

This advertiser has chosen not to accept applicants from your region.

Data Architect

New
Centurion, Gauteng Careers at DLK Group

Posted today

Job Viewed

Tap Again To Close

Job Description

Overview

Data Architect role at Careers at DLK Group. Location: Centurion, Gauteng, South Africa. Job type: Contract. Seniority level: Mid-Senior level. Posted on 13/08/2025.

Responsibilities
  • Design, develop, and maintain enterprise data architecture strategies and frameworks
  • Ensure data models support business requirements, scalability, and security
  • Define and implement data governance, metadata management, and data quality standards
  • Work with stakeholders to align data strategies with organizational objectives
  • Lead the selection and implementation of cloud-based data solutions (AWS, Azure)
  • Collaborate with IT teams to ensure integration of data architecture within overall enterprise architecture
  • Conduct regular data architecture reviews to ensure compliance with best practices and industry regulations
Requirements
  • Minimum qualification: NQF 7 in Information Technology, Computer Science, Business Administration, Commerce, Business, or Engineering
Certifications
  • TOGAF
  • AWS Solutions Architect
  • Microsoft Azure Solutions Architect Expert
  • Certified Data Management Professional (CDMP)
  • Data Management Body of Knowledge (DMBok)
Experience
  • More than 7 years of experience in Data Architecture or related roles
  • Proven ability to design and implement enterprise data models, data integration strategies, and governance frameworks
Skills & Competencies
  • Strong understanding of data modelling, ETL processes, and database technologies
  • In-depth knowledge of enterprise architecture frameworks (TOGAF)
  • Expertise in cloud-based data services (AWS, Azure)
  • Excellent communication and stakeholder engagement skills
  • Strong analytical and problem-solving capabilities
Job Information
  • City: Centurion
  • Province: Gauteng
  • Country: South Africa
  • Postal Code: 0046
  • Industry: IT Services
  • Job type: Contract
#J-18808-Ljbffr
This advertiser has chosen not to accept applicants from your region.

Data Architect

Johannesburg, Gauteng Rmbwestport

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

Data Architect page is loaded# Data Architectlocations: Johannesburgtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 10, 2025 (8 days left to apply)job requisition id: R34399# **Job Description**To support in the design, development and implementation of information and data architecture framework and principles to be adopted by the business and ensure technology components are aligned to deliver solutions 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.As part of our **FNB P&P Architecture** 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.**You will be an ideal candidate if you:*** Have **8+ years** of experience in the Business Intelligence and/or Data space.* Have solid experience as a **Data Architect*** Have **Banking experience** in the South African market.* Have a degree in Information Technology, Informatics or similar* Have experience in SAS and SQL* Have exposure to Teradata and/or AbInitio (advantageous)**Are you someone who can:*** Incorporate your knowledge of ETL design across various technologies including exception handling* Map out current, future and transitional architectures to meet business objectives* Apply data design principles across business pillars and provide holistic designs* Produce consistently high-quality outputs within agreed deadlines* Convert business requirements into databases, data warehouses, and data streams* Research data acquisition opportunities and develop APIs to retrieve data**Additional Responsibilities will include:*** Good understanding of system landscape* Knowledge of Information Management* Understanding of advanced analytics techniques, technologies, standards and best practices as it relates to Data Architecture* Knowledge of Master Data Management, Data Warehousing (different architectural approached) and BI* Good understanding of system development* Understanding of Agile methodologies, frameworks and practices and ability to apply* Knowledge of Enterprise Architecture frameworks such as TOGAF, Zachman, etc.* Design of efficient solutions to enable rapid deployment of advanced analytical solutions* Data modeling and database design: ability to design and implement efficient and scalable data models to support business requirements.* Data warehousing: knowledge of data warehousing concepts, methods and technologies to support data integration, data quality, data security and data governance.* Big Data: knowledge of big data technologies, such as Hadoop, Spark, and NoSQL databases, to support the storage and processing of large data sets.* Cloud computing: knowledge of cloud computing platforms, such as AWS, Azure, and GCP, to design and implement data solutions that leverage the cloud.* Data governance and management: understanding of data governance policies, procedures, and standards to ensure data security, privacy and compliance.* Data integration and ETL: expertise in data integration and ETL (extract, transform, load) processes to support the
This advertiser has chosen not to accept applicants from your region.
 

Nearby Locations

Other Jobs Near Me

Industry

  1. request_quote Accounting
  2. work Administrative
  3. eco Agriculture Forestry
  4. smart_toy AI & Emerging Technologies
  5. school Apprenticeships & Trainee
  6. apartment Architecture
  7. palette Arts & Entertainment
  8. directions_car Automotive
  9. flight_takeoff Aviation
  10. account_balance Banking & Finance
  11. local_florist Beauty & Wellness
  12. restaurant Catering
  13. volunteer_activism Charity & Voluntary
  14. science Chemical Engineering
  15. child_friendly Childcare
  16. foundation Civil Engineering
  17. clean_hands Cleaning & Sanitation
  18. diversity_3 Community & Social Care
  19. construction Construction
  20. brush Creative & Digital
  21. currency_bitcoin Crypto & Blockchain
  22. support_agent Customer Service & Helpdesk
  23. medical_services Dental
  24. medical_services Driving & Transport
  25. medical_services E Commerce & Social Media
  26. school Education & Teaching
  27. electrical_services Electrical Engineering
  28. bolt Energy
  29. local_mall Fmcg
  30. gavel Government & Non Profit
  31. emoji_events Graduate
  32. health_and_safety Healthcare
  33. beach_access Hospitality & Tourism
  34. groups Human Resources
  35. precision_manufacturing Industrial Engineering
  36. security Information Security
  37. handyman Installation & Maintenance
  38. policy Insurance
  39. code IT & Software
  40. gavel Legal
  41. sports_soccer Leisure & Sports
  42. inventory_2 Logistics & Warehousing
  43. supervisor_account Management
  44. supervisor_account Management Consultancy
  45. supervisor_account Manufacturing & Production
  46. campaign Marketing
  47. build Mechanical Engineering
  48. perm_media Media & PR
  49. local_hospital Medical
  50. local_hospital Military & Public Safety
  51. local_hospital Mining
  52. medical_services Nursing
  53. local_gas_station Oil & Gas
  54. biotech Pharmaceutical
  55. checklist_rtl Project Management
  56. shopping_bag Purchasing
  57. home_work Real Estate
  58. person_search Recruitment Consultancy
  59. store Retail
  60. point_of_sale Sales
  61. science Scientific Research & Development
  62. wifi Telecoms
  63. psychology Therapy
  64. pets Veterinary
View All Data Architects Jobs