Role Description
We are seeking a Data Architect to own the data model underpinning an enterprise Bank calibration engine. The candidate will define the common Function ID taxonomy and the crosswalk that maps critical business service hierarchies, platform and hub structures, and Legacy identifiers onto a single model the calibration engine can key on. This work sets the foundation for the entire pilot and is delivered in the opening weeks of the engagement.
The candidate will design for scale from the outset, so that the enterprise rollout onto the client's data mesh platform is an extension of the pilot architecture rather than a rebuild, including domain registration, certification, entitlement and column-level lineage. Strong stakeholder skills are essential, as the individual will frequently be the person deciding which source of truth prevails where assessments conflict.
Must-have skills (Primary Skills)
- Enterprise Data Modeling (conceptual, logical, physical)
- Taxonomy and Reference Data Design
- Identifier Crosswalk and Entity Resolution Design
- Graph Data Modeling (nodes, edges, measures, provenance)
- Data Lineage and Provenance Architecture
- Data Quality Frameworks and Controls
- Data Governance and Stewardship Models
- Python & Advanced SQL
- Snowflake
- Source System Analysis and Data Profiling
- Banking Risk, Resilience or Reference Data Domains
Good-to-have skills (Secondary Skills)
- Data Mesh and Data Product Design
- Data Contracts and Schema Validation
- Knowledge Graph/Property Graph modelling
- Metadata Management and Data Catalog tooling (Collibra, Alation)
- Parquet/Lakehouse Architecture
- BCBS 239 and regulatory data governance exposure
- Git Version Control
- Agile Delivery Methodology
- Cloud Platforms (Azure)