Databricks Data Governance

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

Job Posting: Principal Data Engineer & Governance Lead (Supply Chain & NPI)

Location: Bay Area, CA (Onsite)

Industry: Hardware Operations & Supply Chain

Employment Type: Contract

About the Role

We are looking for a Principal Data Engineer & Governance Lead to bridge the gap between world-class Data Architecture and Supply Chain Operations.

In this dual-impact role, you will own the Databricks Gold Layer and Data Governance framework while partnering directly with Supply Planning, Materials Planning, and Product Ops to architect and optimize our NPI (New Product Introduction) Build Profile Matrix. You will balance factory yield, material availability, and capacity constraints, turning raw operational inputs into trusted, AI-ready data products.

Key Responsibilities

DATABRICKS, GOVERNANCE & DATA QUALITY

• Databricks Gold Layer Ownership: Work alongside analytics engineers to design, build, and govern certified data models, metric views, and end-to-end data lineage in Databricks.
• Data Quality & Observability: Own DQ alerting, SLAs, root-cause analysis, anomaly and abnormality detection, and triage management across all operational pipelines.
• Metric Governance: Define, standardize, and enforce metric certification gates across all functional groups before metrics enter official business reporting.
• AI Readiness & Text-to-SQL: Drive tiered dataset assessments scoring completeness, accuracy, and automation readiness, and convert certified metric models into natural-language queryable experiences.
• Mentorship: Guide and mentor data engineers, BI developers, and business analysts on modern data governance, medallion architecture, and modeling best practices.

What We Are Looking For

MUST-HAVE QUALIFICATIONS

• Databricks & Medallion Architecture: Advanced experience architecting curated/Gold-layer data models using Databricks, Delta Lake, and Lakehouse architectures.
• Data Quality & Observability: Proven track record establishing DQ alerting, anomaly detection, SLAs, and RCA frameworks.
• Metric & Data Governance: Direct experience creating unified metric definitions, managing semantic layers/metric views, and tracking data lineage via data catalogs.
• End-to-End Solutioning: Proven experience leading or architecting data platform modernizations, migrations, or greenfield builds (beyond routine pipeline maintenance).