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. 

What you’ll do

• 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.

What you’ll bring

Minimum

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

• Clear evidence of architecture ownership.

Must Have

• Two active Databricks certifications (e.g. 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.

Should Have

• 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.

Nice to Have

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

If this sounds like you, get in touch!