Lead Data Engineer

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care—and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism.Our four values guide our strategy, our decisions, and our interactions:Make it human. We care about the people that make up our customers, colleagues, and communities.Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other.POSITION TITLELead Data EngineerPOSITION LOCATIONThis position is available to Virginia residents as Richmond or Lynchburg, Virginia in-office applicants*A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST.This role is not eligible for employment visa sponsorshipYOUR ROLEThe Life, Annuity, and Long-Term Care Data Solutions team —responsible for end-to-end‑to‑end data architecture, data governance, and data engineering from source systems to data consumers—is seeking a Lead Data Engineer with strong Databricks expertise and proven experience in a Tech Lead capacity.In this role, you will lead and mentor data engineering tech leads across multiple build teams that use DataBricks and a data engineering CoE (Center of Excellence), guiding them through the full software development lifecycle including design, build, test, and run. You will lead the definition of best practices, establish common code frameworks, elevate engineering maturity, prove out and determine when new DataBricks features should be implemented, and ensure consistent delivery of high-quality‑quality data products and analytical solutions across build teams. You will be part of a high performing, ‑performing, mission‑driven organization of ~25 individuals across four agile teams. Collaboration will be central as you work closely with the solution architects, agile team tech leads, data product owner, and other partners across security, cloud, testing, and data modeling.The platform leverages a modern streaming architecture supporting both transactional and analytical pipelines, grounded in Medallion and OneLake design principles. A primary outcome for this role and others on the team is overseeing the implementation of DataBricks that will replace many legacy analytical platforms that result in new and better business outcomes. What you will be doingLeading 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.What you bring3–5 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‑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.Nice to haveAzure and Fabric cloud experienceInsurance 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.Employee Benefits & Well-BeingGenworth employees make a difference in people’s lives every day. We’re committed to making a difference in our employees’ lives.Competitive Compensation & Total Rewards IncentivesComprehensive Healthcare CoverageMultiple 401(k) Savings Plan OptionsAuto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family LeaveDisability, Life, and Long Term Care InsuranceTuition Reimbursement, Student Loan Repayment and Training & Certification SupportWellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)Caregiver and Mental Health Support ServicesAdditional Information:National Range: $120,900 - $187,000Disclaimer: This role will be located in Richmond, VA. Actual compensation will vary based on geographic location, experience, skills, and other job-related factors. In addition to base salary, this role is eligible to participate in a bonus incentive plan. Incentive compensation is based on individual and company performance and is not guaranteed.SummaryLocation: Richmond, VirginiaType: Full time