Databricks Champion Architect

We're hiring a Databricks Champion Architect to define and govern our modern lakehouse architecture. You'll blend solution design, hands-on technical leadership, and platform enablement; setting patterns, accelerating delivery teams, and ensuring production-ready engineering on a contract basis.

• Own end-to-end Databricks architecture across ingestion, transformation, governance, serving, and operations.

• Set Medallion Architecture standards-Bronze/Silver/Gold, SCD/CDC, data quality, retention, performance.

• Architect modern ingestion using AutoLoader, Lakeflow Connect, batch/streaming/CDC.

• Lead Unity Catalog governance-namespace strategy, access models, lineage, secure-by-design patterns.

• Define DLT with Expectations-quality rules, quarantine, observability.

• Drive production-ready engineering-CI/CD, environments, monitoring, runbooks.

• Align with security, EA, governance, platform and delivery teams.

• Enable squads with playbooks, templates, ADRs, coaching.

• Support pre-sales and roadmap-HLDs, estimation, risks, proposals.

• 2+ years recent hands-on Databricks experience using modern features.

• Clear evidence of architecture ownership.

• Two active Databricks certifications (eg Data Engineer, ML, GenAI Engineer).

• Proven Medallion Architecture design.

• Unity Catalog architecture experience.

• DLT with Expectations implementation.

• Modern ingestion with AutoLoader/Lakeflow Connect.

• Ability to articulate recent Databricks feature usage.

• Strong Delta Lake performance skills-MERGE/CDC, partitioning, OPTIMIZE/ZORDER, VACUUM.

• Mature production architecture-Workflows, secrets, testing, observability.

• Cloud integration (Azure/AWS/GCP).

• Ability to standardise and influence across teams.

• Lakeflow connectors, RBAC/masking, GenAI (Mosaic AI, Vector Search, RAG), Lakebase.

If this sounds like you, get in touch!