Lead Data Engineer
- Company
- Protective
- Location
- Remote, United States
- Salary
- 9 125–13 986 $/mo
- Posted
- 2026-09-27
Skills: Databricks, Azure, Scrum, Python, SQL, dbt, Azure DevOps, CI/CD, Spark, Delta Lake, Dagster, Airflow, Git, MLflow
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life’s uncertainties. Regardless of where you work within the company, you’ll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture — Bronze ingestion, Silver conformance, and Gold consumption — and be accountable for whether those products hold up for the consumers who depend on them.
This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod’s data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering.
On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description.
Key Responsibilities
Design and modeling
• Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design — grain, natural and…
Full text and application on the employer's site.