Chubb

VP, Principal Data Engineer

Chubb Philadelphia, Pennsylvania, United States · $184K–$240K/yr

Insurance · 1,001-5,000 employees

9 h ago
data-engineer Principal (10+ yrs) Full-time United States
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About the role

The Principal Data Engineer will define the engineering strategy and lead the development of automated data pipelines for Finance, Actuarial, and Corporate platforms. This role involves providing hands-on technical leadership, managing engineering squads, and ensuring the adoption of modern DevOps and AI-assisted development practices.

What they look for

Data engineering Technical leadership Azure Synapse Databricks Snowflake ETL development Data warehousing Python CI/CD DevOps Cloud architecture Informatica Data pipeline automation Dimensional modeling Team management Strategic planning

Requirements

Candidates must have a bachelor's degree and over 12 years of progressive data engineering experience, including significant expertise in cloud platforms like Azure and Snowflake. Proven experience in people leadership, managing distributed teams, and translating complex technical strategies for executive stakeholders is required.

Benefits

Comprehensive benefits package

Full description

By joining Chubb as Principal Data Engineer for our North America Finance & Actuarial and Corporate Data platforms, you'll set the engineering direction for a portfolio of strategic applications that directly underpin financial, actuarial, claims, regulatory, underwriting and executive decision-making across the enterprise. This is a technical leadership role: you'll define and drive engineering standards, architect and implement no-touch data pipelines and integrations, and transform the way our engineering squads deliver by embedding AI-assisted development, modern DevOps practices, and cloud-first design into everything we build. You'll influence and guide a team of data engineers across multiple squads, provide hands-on technical leadership on the most complex initiatives, and serve as the senior engineering voice in cross-functional conversations with architects, platform teams, and business stakeholders.

Responsibilities Include:

  • Define and drive the engineering strategy across Finance, Actuarial, and Corporate Data platforms, establishing and enforcing standards, patterns, and best practices across all squads.
  • Architect and implement no-touch, automated data pipelines and integrations that minimize manual intervention, reduce operational risk, and improve reliability at scale.
  • Lead the adoption of AI-assisted development practices — including AI-augmented code generation, pipeline automation, anomaly detection, and intelligent data quality monitoring — to accelerate delivery and reduce toil.
  • Provide hands-on technical leadership on high-complexity initiatives, including cloud migration (Azure Synapse / Databricks / Snowflake), ETL modernization, and replatforming efforts.
  • Evaluate and recommend modern tooling, frameworks, and architectural patterns; build the business case and lead adoption across engineering squads.
  • Partner with the data reliability engineering and enhancement squad leads to ensure engineering standards are embedded in day-to-day delivery from design through deployment and operations.
  • Establish CI/CD pipelines, automated testing frameworks, and deployment standards that enable consistent, high-quality releases across a variety of different data systems and products.
  • Lead root cause analysis and resolution for the most complex data engineering issues, driving permanent fixes over tactical workarounds.
  • Build, lead, and develop a team of approximately five direct-report senior data engineers and engineering leads across Finance, Actuarial, and Corporate Data squads; drive performance, engineering accountability, and a clear path for career growth.
  • Define, govern, and enforce engineering standards and best practices across distributed and offshore engineering teams; hold ultimate accountability for the quality, consistency, and technical direction of engineering products delivered by those teams, regardless of reporting structure.
  • Translate complex technical strategies into clear communications for executive stakeholders, including the Head of Data, North America, Head of Data Engineering, North America, and senior business leaders.
  • Maintain and evolve technical documentation, architecture decision records, and engineering runbooks as living assets.
  • Stay current on emerging data engineering technologies and bring relevant innovations into the team's delivery model.

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

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