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Lead Azure Databricks Data Engineer
Job Description & How to Apply Below
This lead data engineering role supports the Databricks lakehouse, the enterprise single source of truth. You will guide data infrastructure development across policy, billing, claims, and finance data. The work includes data modeling, Azure services, Python, Spark, SQL, and production operations. You will collaborate with data scientists, product owners, IT, and business stakeholders.
Key Responsibilities:
Design scalable, reliable, and resilient lakehouse infrastructure
Build configuration-driven pipelines across business data domains
Implement data quality checks within production pipelines
Optimize pipeline performance, flow, and resource usage
Provide technical leadership and mentor other engineers
Requirements:
Five to eight years of relevant data engineering experience
Bachelor’s or master’s degree in a related field
Hands-on Azure Databricks and Microsoft Azure knowledge
Proficiency in Python, Spark concepts, distributed systems, and SQL
Experience with CI/CD, TDD, observability, and incident response
Apply your Azure Databricks, Python, Spark, and SQL expertise to lead reliable data platform delivery at Gore Mutual.
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