Data Architect

Develop conceptual, logical, and physical data models, focusing on design (structure, semantics, constraints, and alignment to business meaning), including key physical design considerations such as indexing and partitioning

Define and maintain reference and target data architectures (including standards and reusable patterns) across operational systems, event/streaming platforms, and analytical environments (data warehouse/lakehouse)

Drive architectural decision-making and trade-offs (e.g., consistency, performance, scalability, cost, operability, security), and contribute to architecture documentation practices that capture and govern those decisions

Support the implementation of the organizational data strategy, including database design standards, data warehouse architecture, standards and guidance, and analytics platform integration

Assist with the deployment and extension of the Enterprise Data Catalogue

Contribute to the creation and maintenance of architecture processes and documentation standards

Partner closely with project teams as an embedded contributor, guiding schema design, physical design choices (e.g., indexing and partitioning), data access patterns, and query optimization best practices, supporting teams through design reviews and delivery

Advise project teams on the end-to-end data product lifecycle, from platform selection through testing and implementation

Govern changes to architectural artefacts and ensure systems conform to established data architecture guidelines

Define data flows and integration patterns across applications and services, including operational systems, streams, and analytical platforms (batch and real-time), with clear ownership and information dissemination patterns

BSc/MSc in Computer Science, Information Technology or related field.