Databricks Data Governance Lead | Gold Layer - Bay Area

Simarn Solutions; San Francisco (CA); On-site; USD 207,000 - 289,000; Full time

Job summary

Simarn Solutions seeks a Principal Data Engineer & Governance Lead to bridge world-class Data Architecture with Supply Chain Operations in the Bay Area. You will own the Databricks Gold Layer and Data Governance framework, partnering with Supply Planning, Materials Planning, and Product Ops to design AI-ready data products.

This role emphasizes Databricks, data quality, metric governance, and end-to-end solutioning, with mentorship across data engineers, BI developers, and analysts in a

Qualifications

• Advanced experience with Databricks, Delta Lake and Gold-layer data models.
• Proven track record establishing data quality alerts and RCA frameworks.
• Experience creating unified metric definitions and data lineage tracking.
• Leadership in data platform modernizations and greenfield builds.

Responsibilities

• Databricks Gold Layer Ownership: design, build, and govern certified data models and data lineage.
• Data Quality & Observability: oversee DQ alerting, SLAs, RCA, and anomaly detection across pipelines.
• Metric Governance: standardize and gate metric definitions before official reporting.
• AI Readiness & Text-to-SQL: assess datasets and enable natural-language queryable experiences.
• Mentorship: guide data engineers, BI developers, and analysts on governance and best practices.

Skills

Databricks & Medallion Architecture

Data Quality & Observability

Metric & Data Governance

End-to-End Solutioning

Tools

Databricks

Delta Lake

Lakehouse architectures

Job description

Simarn Solutions seeks a Principal Data Engineer & Governance Lead to bridge world-class Data Architecture with Supply Chain Operations in the Bay Area. You will own the Databricks Gold Layer and Data Governance framework, partnering with Supply Planning, Materials Planning, and Product Ops to design AI-ready data products.

This role emphasizes Databricks, data quality, metric governance, and end-to-end solutioning, with mentorship across data engineers, BI developers, and analysts in a