Currently looking for a Solution Architect to design and integrate IBM InfoSphere BigMatch entity-resolution capability within a new Databricks data platform on AWS.
You’ll own the architecture linking BigMatch matching services with the Lakehouse platform — ensuring accurate, scalable, and governed identity resolution across enterprise data domains.
What you’ll be doing:
- Designing entity-resolution architecture — matching, standardisation, and survivorship rules at scale
- Architecting ingestion/processing pipelines feeding BigMatch via AWS and Databricks
- Aligning medallion-layer design (Bronze/Silver/Gold) with matched entity data
- Embedding data quality and governance controls, working with Unity Catalog
- Acting as the technical authority on BigMatch/Databricks integration decisions
What we’re looking for:
5+ years’ solution architecture experience across data/integration platforms
Hands-on experience with IBM InfoSphere BigMatch or equivalent MDM entity-resolution tools (Informatica MDM, Reltio, Tamr, Senzing, etc. also considered)
Experience integrating with Databricks Lakehouse (Delta Lake, Unity Catalog)
Solid understanding of data matching, standardisation, and survivorship concepts
Bonus points for:
IBM MDM/BigMatch or Databricks certification, regulated/public sector experience, or a background in customer/identity data programmes.
Contract | SC Clearance required (or eligibility to obtain)
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