Staff Analytics Engineer, Databricks (R5493)

What You'll Do:

• Own Gold-layer design and delivery, including facts, dimensions, domain data marts, and governed KPI implementations on Databricks.
• Build and maintain the enterprise semantic layer through curated views, governed semantic models, and metric definitions.
• Partner directly with business stakeholders across domains to clarify KPI definitions and resolve ambiguity before implementation.

Required Qualifications:

• 8+ years of experience in analytics engineering, BI engineering, or data engineering with strong dimensional modeling expertise.
• Hands-on Databricks experience including Delta Lake and Spark SQL and/or PySpark, with strong familiarity with semantic-layer concepts.
• Demonstrated experience translating ambiguous business KPI requests into precise and auditable transformation logic.

Preferred Qualifications:

• Experience with dbt or comparable transformation frameworks on Databricks.
• Experience building or maintaining a KPI registry, metrics layer, semantic layer, or comparable governance artifact.
• Experience in a multi-domain enterprise environment where metrics and definitions overlap across business areas.