Role OverviewThe Manager, Analytics Engineering leads the Analytics Engineering track within the Data & Analytics organization, owning the semantic layer between raw pipeline output and BI consumption. This function owns Gold-layer table design, Unity Catalog metric view definitions, Silver-to-Gold promotion logic, and data product development in a Databricks-native environment.
What You Will Do
Semantic Layer Ownership, Data Product Development, Team Leadership & Development, Cross-Functional Partnership
Why It Might Be a Fit
7+ years of progressive data engineering or analytics engineering experience, with at least 2 years in a people management or team lead capacity. Deep, hands-on expertise with Databricks: Unity Catalog, metric views, Delta Lake, medallion architecture, and Silver-to-Gold promotion logic in production environments.
Requirements
- 7+ years of progressive data engineering or analytics engineering experience
- 2 years in a people management or team lead capacity
- Deep, hands-on expertise with Databricks: Unity Catalog, metric views, Delta Lake, medallion architecture, and Silver-to-Gold promotion logic in production environments
- Proficiency in SQL and PySpark
- Proven ability to build and lead teams
Benefits
- Medical
- Dental
- Vision
- Health savings
- Flexible spending accounts
- 401K with employer matching
- Employer-paid life insurance
- Short/long term disability coverage
- Employee Assistance Program
- Paid time off
- Paid holidays
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