A bachelor's degree in Computer Science, Information Systems, Data Management, Engineering, Mathematics or a related field.
A relevant master's degree is an added advantage.
Professional certification in data management, data architecture, enterprise architecture or cloud data platforms is an added advantage.
At least seven (7) years of experience in data management, data engineering, database design, analytics or architecture, including at least three (3) years in data architecture or a senior data modelling role.
Demonstrated experience designing enterprise data models and modern analytical data platforms.
Experience in banking, financial services or another data-intensive regulated environment is preferred.
Conceptual, logical and physical data modelling.
Data warehousing, lakehouse, data lake and data product patterns.
Metadata, lineage, master and reference data, and data quality.
Batch, streaming and real-time data architecture.
SQL and relational and non-relational data technologies.
Privacy, security, records retention and resilience by design.
Data architecture governance and design review.
Communication with business data owners and technical teams.
Flexibility to work across business and technology teams and to support critical delivery or production activities when required.
Commitment to confidentiality, responsible use of data and AI, and compliance with the Bank's policies and control requirements.
Application deadline9 Nov 2026
GK
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