125 Database Admin jobs in South Africa

• 1-3 years’ experience
• Strong MS SQL experience
• Experience working with financial instruments
• Experience working with Bloomberg (Advantageous)
• Software Development Life Cycle (SDLC) experience (Advantageous)
• Experience working in an Agile environment (Advantageous)
• Power BI experience (Advantageous)

• RisCura relies on the timeliness and accuracy of the data received from external vendors. This role encompasses the receipt, processing, and delivery of all market data, and the activities that transform and provide this information to end users.
• This role requires staff to work one of two shifts (which will alternate between team members). RisCura’s ordinary hours of work are 7.5 hours plus a 1-hour lunch break.
• The morning shift ordinarily starts at 06:00 and the evening shift ordinarily ends at 16:45. Overtime is required from time to time should there be system issues or data delivery issues.

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.

Join to apply for the Data Management Practice Lead role at NTT DATA, Inc.

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Join to apply for the Data Management Practice Lead role at NTT DATA, Inc.

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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.

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.

The Practice Lead for Data Management is responsible for leading the strategic design and operational execution of enterprise data management initiatives. This includes overseeing the development of the data catalog, implementing data quality frameworks, managing role-based security access, designing the data marketplace, and supporting the architecture of the overall data analytics solution

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.
  
  

• 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.
  
  

• Design and enforce role-based access control (RBAC) policies across data platforms.
• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).
  
  

• 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.
  
  

• 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.
  
  

• 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.
  
  

• 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).
  
  

• 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.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at NTT DATA, Inc. by 2x

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Join to apply for the Data Management Practice Lead role at NTT DATA, Inc.

1 day ago Be among the first 25 applicants

Join to apply for the Data Management Practice Lead role at NTT DATA, Inc.

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.

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.

The Practice Lead for Data Management is responsible for leading the strategic design and operational execution of enterprise data management initiatives. This includes overseeing the development of the data catalog, implementing data quality frameworks, managing role-based security access, designing the data marketplace, and supporting the architecture of the overall data analytics solution

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.
  
  

• 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.
  
  

• Design and enforce role-based access control (RBAC) policies across data platforms.
• Ensure compliance with data privacy and security regulations (e.g., POPIA, GDPR).
  
  

• 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.
  
  

• 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.
  
  

• 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.
  
  

• 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).
  
  

• 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.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at NTT DATA, Inc. by 2x

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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.

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.

Are you passionate about data management and information systems? Our client is seeking a skilled individual to join their team as a Data & Management Information Systems Specialist!

1. Head office-based role working with Operations Head, Finance Manager & IT.
2. Understanding of the Companies Operating Model & business processes.
3. Responsible for change control of data into production environment.
4. Align with data architecture & data design mapping to enable data integration.

Qlik; XLS; Power Bi; Internal Applications (proprietary systems built in-house)

1. Experience in financial services/Wealth Management (beneficial).
2. Exposure to Xplan (beneficial).