Lead Databricks Engineer

Sentara Health is looking for a Remote Lead Databricks Engineer.

This is a remote position: Remote opportunities available in the following states: Virginia, North Carolina, Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington (state), West Virginia, Wisconsin, Wyoming

Lead Specialty Engineer 

Overview

We are looking for a Senior Data Engineer to help build and scale a modern, metadata-driven data platform on Azure. This role focuses on designing reusable data ingestion frameworks, enabling governance at scale, and integrating with modern data catalog and access patterns.

The ideal candidate is hands-on, thinks in terms of platforms rather than pipelines, and has strong experience with Databricks, Python, and cloud-native data architectures.

Key Responsibilities

• Design and develop scalable, reusable data ingestion frameworks using Azure Databricks and PySpark
• Build metadata-driven pipelines that decouple configuration from execution
• Implement and maintain Bronze, Silver, and Gold data layers following Medallion architecture
• Integrate data pipelines with data catalog and governance tools (e.g., DataHub, Purview)
• Implement schema enforcement, data contracts, and data quality checks within pipelines
• Work with ingestion tools (e.g., Fivetran) and file-based ingestion patterns
• Enable automation for dataset onboarding using configuration-driven approaches
• Collaborate with architecture, governance, and business teams to ensure scalable and governed data access
• Contribute to evolving toward event-driven and near real-time ingestion patterns
• Support CI/CD and DevOps practices for data platform components

Education:

• Bachelor's degree

Required Skills & Experience

• 8 years of experience in data engineering or data platform development with degree
• 10 years of relevant experience without a degree
• Strong hands-on experience with Azure Databricks and PySpark
• Proficiency in Python for data engineering and framework development
• Experience with Delta Lake and Lakehouse architecture
• Strong understanding of Medallion architecture (Bronze, Silver, Gold)
• Experience designing reusable and scalable data ingestion frameworks
• Experience working with data catalog / governance tools (DataHub, Purview, Collibra, etc.)
• Solid understanding of:
  • data lineage
  • schema evolution
  • data contracts
  • data quality frameworks
• Experience working with cloud storage (ADLS Gen2) and distributed data processing
• Familiarity with CI/CD pipelines and Git-based workflows

We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $106,080 – $176,820.8.  Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities