Principal Data Engineer

At Ledgebrook, we are building an Excess & Surplus (E&S) lines insurance company that combines deep underwriting and pricing expertise with a modern tech platform fit for the future of insurance.

Must Haves:

• 10+ years of experience in data or analytics engineering.
• Expert-level command of Python and SQL with production system experience.
• Hands-on experience with Airflow, dbt, Terraform, and Snowflake in production.
• Proven capability to own platform architecture decisions end-to-end.
• Experience driving cross-functional technical alignment without positional authority.
• Experience building and enforcing data quality, observability, and governance frameworks at scale.
• Comfortable operating in high-ambiguity environments where self-direction is required.

Nice to Have:

• Experience in insurance, fintech, or regulated domains.
• Familiarity with Power BI, Tableau, or Looker.
• Experience designing for compliance and data governance (SOC 2, CCPA).
• Experience building data infrastructure at a high-growth startup.

• Own the end-to-end design of the data infrastructure, including pipeline architecture, data modeling patterns, and platform evolution across Snowflake, dbt, Airflow, and Terraform.
• Establish and enforce practices around data quality, testing, observability, and deployment.
• Design semantic layers and data models to support underwriting, finance, and executive strategy usable by analysts.
• Manage data governance including data contracts, SLAs, lineage, and documentation.
• Partner with data science and engineering leadership to support ML pipelines and AI initiatives.
• Mentor engineers, conduct code and design reviews, and close skill gaps.
• Engage with stakeholders in actuarial, underwriting, finance, and product to translate business needs into the technical roadmap.

This position is open only to candidates authorized to work in the United States, Canada, or Poland without employer-sponsored work authorization. Sponsorship is not available. Ledgebrook may use Artificial Intelligence tools as part of the application evaluation, but hiring decisions are made by humans. Reasonable accommodations are available upon request without negative impact on the application.