Databricks Architect — Governed AI Self-Service

Capgemini; Princeton (NJ); On-site; USD 48,000 - 75,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Retirement plan

Job summary

Tundra Technical Solutions is seeking a hands-on architect to design governed, conversational self-service on Databricks and to own end-to-end architecture from data sources to business-facing answers.

You will build a federated hub with shared definitions, publish local metrics to the central model, and define governance for changes, versioning, and lineage while leading a small team of engineers.

Qualifications

• 10–12 years in data engineering and data architecture.
• Hands-on architect with at least 3 years delivering on a team.
• Production Databricks experience: Unity Catalog, Delta Lake, Lakehouse Federation, Delta Sharing.
• Strong SQL and Python, plus Git and CI/CD for data assets.

Responsibilities

• Own end-to-end architecture for governed, conversational self-service on Databricks.
• Design federated central hub with data context per business unit.
• Define semantic and context layer, ontology, keys, rules, lineage.
• Publish local definitions to central hub without copying data.
• Explain designs to leaders and guide a small engineering team.
• Build Unity Catalog metric views, ABAC policies, and SQL functions.

Skills

SQL

Python

PySpark

Databricks

Git CI/CD

Data governance

ABAC policies

Delta Lake

Lakehouse Federation

Tools

Unity Catalog

Delta Sharing

Genie

Genie Spaces

Job description

Tundra Technical Solutions is seeking a hands-on architect to design governed, conversational self-service on Databricks and to own end-to-end architecture from data sources to business-facing answers.

You will build a federated hub with shared definitions, publish local metrics to the central model, and define governance for changes, versioning, and lineage while leading a small team of engineers.