Principal Data Engineer

Genworth is a company that empowers families to navigate the aging journey with confidence. They are seeking a Principal Data Engineer to lead and mentor data engineering teams, guiding them through the software development lifecycle and ensuring the delivery of high-quality 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:

• 3–5 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 stakeholders
• Ability to engage proactively with business leaders to recommend solutions aligned to strategy and support data self-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