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.

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

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 (e.g. Data Engineer, ML, GenAI Engineer).

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.

Cloud integration (Azure/AWS/GCP).

Ability to standardise and influence across teams.

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