Requisition Details
Talent Acquisition Specialist REQ 136186 - Keabetswe Modise
Job Family: Information Technology
Career Stream: Data
Leadership Pipeline: Manage Managers (MM)
Job Purpose
To manage the architecture and data integration engineering team, driving design and architecting detailed data solutions aligned with the Groups enterprise data Architecture. The Head of Data Integration Engineering will focus on creating logical solutions, detailed designs, and ensuring approval of data flows within the data ecosystem. Work with Group Technology in data integration solutions and data security to ensure our data is safeguarded. Manage the design council providing expert guidance and ensuring adherence to standards and practices.
Key focus: Cloud solutions (Azure and AWS), Ab Initio, IBM Data Solutions, Denodo, data integration patterns, and data storage patterns.
Job Responsibilities
Design and implement data integration strategies and align these initiatives with business objectives.
Build and develop a team of data engineers and Lead Engineers to create a high performing data integration team.
Oversee data quality and consistency. Enforce data standards and quality through the data pipelines.
Implement Data Quality into the Data Lake and ensure Quality is built in.
Work closely with Assets and Journeys, engineering, data analytics, data governance, and the business in cross-functional teams and ensure closer collaboration.
Keep abreast with industry trends, adopting new technologies and ensuring our best practices are world class.
Ensure that the data warehouse and Enterprise data marts are governed and controlled to ensure compliance with regulatory requirements and that all regulatory reporting is supported.
Unlock the value of the Nedbank Data Products and drive innovation through data-driven practices that support the commercialization of Data.
Manage the team effectively and efficiently across the HR value chain, including recruitment, performance management, retention of critical staff, succession planning, coaching, and talent management.
In collaboration with Group Technology, lead the development and maintenance of overall data architecture to align data integration efforts with overall IT strategy.
Oversee and guide the design and implement robust data pipelines for various data sources and the selection and management of data integration tools and platforms.
Develop strategies for efficient data integration across the organization.
Oversee and prioritize the seamless data flow between different systems and applications.
Implement real-time data streaming solutions for operational needs.
Develop efficient processes to extract data from trusted source systems (Core Banking, Treasury, Trade Finance, Risk Systems, etc.).
Provide guidance and manage the transformation of data into standardized formats suitable for analysis and reporting.
Implement processes for loading data into the data warehouse and enterprise mart and provisioning data to LoB in a timely and accurate manner.
Build and manage operational data stores for real-time decision support.
Optimize data storage and archiving processes for performance and compliance.
Implement data quality checks and monitoring within integration processes.
Collaborate with business units to understand and meet data integration needs.
Coordinate with other data teams to ensure consistent data management practices.
Manage the build-out of the Atomic Data Warehouse and ensure the solution is balanced and reconciled.
Ensure the build of the Data Reservoir and ensure the data is loaded daily and reconciles to source systems.
Manage the creation of a comprehensive data model that accommodates the diverse data requirements of Basel, AML, IFRS9, and BCBS239.
Ensure clear mappings between source systems and the data warehouse to ensure data accuracy and consistency.
Manage the development and maintenance of a robust metadata repository to ensure documentation, data definitions, lineage, and quality is maintained.
Conduct regular data profiling on the data reservoir to identify and address data quality issues.
In collaboration with Data Controls and Data Governance, implement processes to ensure data accuracy and completeness through cleansing processes.
Ensure the development and implementation of data validation rules across the ecosystem to maintain data integrity.
Manage the collection and aggregation of data from various sources to meet regulatory reporting requirements.
Monitor regulatory changes with the business and update the data warehouse accordingly.
Implement audit and rules engines to ensure auditability and governance of regulatory data.
Essential Qualifications
Preferred: Master's Degree (NQF Level)
Preferred Certifications: Professional certifications in data integration, data engineering, or a related field.
Minimum Experience Level
- 7-10 years of experience in data integration and engineering roles.
- Experience in managing a team of data professionals.
- Experience in developing and implementing data integration tools and techniques to drive business value.
- Experience in working with cross-functional teams.
Technical / Professional Knowledge
Data architecture, tooling, and infrastructure.
Data integration and data streaming.
Operational data management.
Data storage and archiving.
ETL processes.
Performance optimization.
Cross-functional leadership.
Data security frameworks.
Change management.
Analytical Thinking.
Behavioural Competencies
Communication.
Innovation.
Adaptability.
Continuous Learning.
Collaborating.
Strategic Planning.
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