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.

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.

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).

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.

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.