Lead Data Engineer

Genworth Financial

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Richmond, VALynchburg, VA
Salary: $120,900–$187,000 / yr
Posted: 172 days ago
Freshness: Confirmed live 2 days ago
Nearby: 14 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $180k

This role $154k

$109k most similar roles pay here $229k

This role pays less than 72% of similar roles. Most pay $149,106–$211,200 — the shaded band above. At the midpoint, this role pays about $154k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Genworth Financial

Genworth Financial is a financial services company focused on mortgage insurance, long-term care insurance, and life insurance and annuity products to help people protect their financial well-being. Industry: Insurance & Financial Services

Genworth Financial currently has 24 open roles on FindRole.

Listed pay typically runs $120,900–$187,000 across 24 roles with salary data.

Most-posted roles

View all roles at Genworth Financial

At a glance

TL;DR · Lead Data Engineer

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Lead Data Engineer joins the Life, Annuity, and Long-Term Care Data Solutions team to oversee end-to-end data architecture, governance, and engineering from source systems to consumers. This role involves leading and mentoring tech leads across multiple build teams, establishing coding frameworks, and ensuring high-quality data products. You will manage the full software development lifecycle, including design, testing, and production monitoring while driving Spark performance and cost optimization. The work focuses on replacing legacy analytical platforms with a modern streaming architecture based on Medallion and OneLake principles. Key requirements include 3–5 years of Databricks experience, proficiency in data warehousing, and expertise in CI/CD and Agile frameworks. You will also navigate technical challenges related to insurance industry business processes and medical data while expanding capabilities into AI, ML, and Lakebase features within the Databricks platform.

Skills

Databricks Spark Azure Fabric CI/CD Data Engineering Data Warehousing Agile Data Governance OneLake

What you'll do

Lead and mentor data engineering tech leads across multiple build teams using Databricks.
Define and enforce technical standards for design, engineering, coding, and code reviews.
Develop reusable coding frameworks and shared data assets to be used across the organization.
Design, build, test, and support analytical pipelines using Medallion and OneLake principles.
Manage CI/CD processes and create reusable data tests for future releases.
Optimize Spark performance and identify opportunities for platform cost reduction.
Oversee production monitoring, troubleshooting, and defect resolution for data products.
Evaluate and implement new Databricks features including AI, ML, and Lakebase capabilities.

What we're looking for

Must have 3–5 years of hands-on Databricks experience.
Proven experience in a Tech Lead role leading developers and decomposing work.
Strong communication skills to mentor, influence, and align cross-functional stakeholders.
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 teams and partners.
Proficiency in Spark performance optimization and platform cost optimization.
Knowledge of Azure, Fabric, or insurance industry business processes is preferred.