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