Databricks HR Data Platform & Governance Lead

Meta; Menlo Park (CA); On-site; USD 151,000 - 213,000; Full time

Job summary

Meta seeks a Data Platform & Governance Lead to own the technical layer of the People Operations data strategy within the Databricks Lakehouse. You will govern data standards, semantic definitions, and the knowledge graph, aligning analytics, AI, and dashboards with a single source of truth.

You will drive the migration from legacy stacks to modern data products, supervise data quality and access controls, and influence senior leadership on strategic tradeoffs across People Ops, Legal, and

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 12+ years of experience in data platform, data architecture, data governance, or data engineering.
• Databricks depth: Unity Catalog, Delta Lake, Spark declarative pipelines, Databricks SQL.
• Apache Spark expertise with production performance diagnosis and optimization.
• Experience owning a data platform or data governance domain end to end at enterprise scale.
• Experience with modern data stacks: lakehouse architectures, orchestration, data quality tooling.
• Defined semantic/metrics layer and adoption of certified definitions.
• Design of fine-grained data access controls for confidential data.
• Advanced SQL and working Python for pipelines.
• Ability to influence senior leadership on technical strategy.

Responsibilities

• Own the technical layer of the People Operations Data strategy in Databricks Lakehouse.
• Oversee Databricks implementation for ingestion patterns from Workday and vendor feeds.
• Manage Delta modeling and medallion layering; Spark declarative pipelines.
• Define and enforce Unity Catalog governance, ACLs, filters, and masking policies.
• Develop the semantic layer and knowledge graph for consistent metrics across People Ops.
• Set metadata, glossary, lineage, and data ownership standards with SLAs.
• Ensure data quality, observability, and governance across data products.
• Present technical strategy and tradeoffs to Directors and VPs across orgs.
• Lead migration off legacy Hive/Presto to governed Databricks data products.

Skills

Databricks

Unity Catalog

Delta Lake

Spark pipelines

Databricks SQL

Apache Spark

Data governance

Semantic layer

SQL

Python

Executive communication

Migration leadership

Education

Bachelor's degree in CS/Engineering or related field

Tools

dbt

Airflow

Job description

Meta seeks a Data Platform & Governance Lead to own the technical layer of the People Operations data strategy within the Databricks Lakehouse. You will govern data standards, semantic definitions, and the knowledge graph, aligning analytics, AI, and dashboards with a single source of truth.

You will drive the migration from legacy stacks to modern data products, supervise data quality and access controls, and influence senior leadership on strategic tradeoffs across People Ops, Legal, and