• Architect and write software that solves complex business problems. • Own and serve as a Subject Matter Expert (SME) for large software systems. • Continuously monitor data pipelines in production and implement automated recovery systems. • Lead Engineering Design Reviews, providing well-articulated explanations for decisions. • Write software frameworks that can be extended by others on the team. • Translate business requirements into software solutions. • Know when and how to optimize complex code. • Collaborate cross-functionally including ML engineers. • Expert at scoping tasks.

• Develop and manage data processes to ensure availability and usability • Create and automate data pipelines and platforms • Write clean, efficient, and well-documented code to support data engineering solutions • Monitor and ensure data quality through automated testing frameworks • Collaborate with Architects, Product Owners, Data Scientists, and DevOps • Research data acquisition sources and evaluate suitability • Integrate data management solutions into client environments • Identify and mitigate risks to data while ensuring data recovery plans • Build and maintain data repositories, including data warehouses, data lakes, and operational data stores

• Manage the implementation of data for assigned projects. • Work closely with project teams and clients to ensure seamless data conversion processes. • Develop and document workflows, processes, and best practices for data conversion. • Proactively identify opportunities for automation and efficiency improvements. • Utilize tools such as Excel, SQL, and data transformation software to manipulate and migrate data. • Ensure data integrity, consistency, and accuracy throughout the migration process. • Train and lead the team on best practices and technical solutions for data conversion and transformation. • Assign new projects to team members. • Manage data timelines and deliverables. • Provide reporting and metrics for data imports.

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 TITLE Principal Data Engineer POSITION LOCATION This position is available to Virginia residents as Richmond or Lynchburg, VA Hybrid in-office applicants or remote applicants residing in states/locations under Eastern or Central Standard Time: Alabama, Arkansas, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Virginia, Washington DC, Vermont, West Virginia or Wisconsin. This role is not eligible for employment visa sponsorship YOUR ROLE The 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 Principal Data Engineer with strong Databricks expertise and proven experience in a Tech Lead capaci ty. 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 doing 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. What you bring Employee Benefits & Well-Being Genworth 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 Incentives Comprehensive Healthcare Coverage Multiple 401(k) Savings Plan Options Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!) Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave Disability, Life, and Long Term Care Insurance Tuition Reimbursement,  Student Loan Repayment and Training & Certification Support Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management) Caregiver and Mental Health Support Services