Lead Data Engineer

Genworth helps families navigate the aging journey through care guidance, products, and services. The Lead Data Engineer will provide technical leadership across multiple data engineering teams, establish engineering standards and reusable frameworks, and oversee the development of Databricks-based data products and analytical solutions.

Responsibilities:

• Leading 3–4 build teams, providing technical direction, coaching, mentoring, and technical governance
• May directly lead some data engineers for POCs, building coding frameworks that will be shared across teams, and other re-usable data assets
• May perform hands on designing, building, testing, and supporting analytical pipelines
• Establishing and enforcing design, engineering, and coding standards, including code reviews
• Leading CI/CD and designing reusable data tests for future releases
• Expanding your expertise into AI, ML, Lakebase, and other capabilities available in the DataBricks platform to these features are implemented as needed
• Driving Spark performance optimization and leading platform cost optimization opportunities
• Managing production monitoring, troubleshooting, and defect resolution

Requirements:

• This role is not eligible for employment visa sponsorship
• Candidates must be authorized to work in the United States
• 3+ years of hands-on Databricks experience with other complementary technologies including data governance, reporting and dashboard, and source system technologies
• Proven experience in a Tech Lead role, including leading developers and distributing/decomposing work
• Strong communication skills with the ability to mentor, influence, and align cross functional‑functional stakeholders
• Ability to engage proactively with business leaders to recommend solutions aligned to strategy and support data self-service‑service capabilities
• Solid grounding in general analytics, data warehousing, and modern data engineering practices
• Experience working in Agile frameworks and writing high-quality user stories
• Ability to navigate ambiguity and provide clarity for your team and partners
• Azure and Fabric cloud experience
• Insurance industry business process and data knowledge
• Medical data experience
• Familiarity with data governance and data quality needs for business consumers and how they integrate with pipeline design