Architect - Data

About the role

The Data Architect is the senior technical owner of the platform's design. You will define and evolve the architectural blueprint — the canonical data model, the ingestion framework, the transformation patterns, the FHIR serialization layer, the bidirectional flow with FHIR-Repository, and the governance and observability frameworks that hold them together.

What you'll do

• Own the end-to-end architecture across ingestion (Flink + PySpark), storage (Iceberg on GCS with BigLake Metastore), transformation (dbt over Starburst)
• Maintain the architecture specification document and its companion design docs
• Lead the design and evolution of the Common Data Model (CDM): the dimensional, fact, bridge, and reference table classes; SCD2 semantics; hash key conventions
• CDM is the project's central design artifact and the architect owns it
• Define the bidirectional FHIR flow with origin-tag-based loop prevention

What you need

• 8–13 yrs of experience
• SQL
• Python
• Kafka
• GCP
• Spark
• dbt
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Data structures
• Informatica
• IAM
• VBA
• BigQuery