Principal Data Engineer
Core
Architecting and scaling the end-to-end data platform to support underwriting intelligence, pricing models, and operational infrastructure for an insurance company.
Role type
Staff/Principal Data and Analytics Engineer
Builds
Scalable data infrastructure, semantic layers, and governance frameworks for engineering, actuarial, finance, and product teams.
Domain
Insurance (Excess & Surplus lines) + Data Engineering
Deliverable
infrastructure
Required skills
Python, SQL, Airflow, dbt, Terraform, Snowflake, data architecture, data governance, observability, cross-functional leadership
Preferred skills
Insurance/fintech domain knowledge, BI tools (Power BI/Tableau/Looker), compliance frameworks (SOC 2, CCPA), high-growth startup experience
Technologies
Python, SQL, Snowflake, dbt, Apache Airflow, AWS, Terraform, GitHub, Jira, Confluence, Slack
Responsibilities
Architect end-to-end data platform design and evolution; Define and enforce engineering standards for data quality and deployment; Design semantic layers for complex business reporting; Own data governance posture including contracts and lineage; Partner with data science to support ML/AI initiatives; Mentor engineers and conduct design reviews; Engage with business leaders to translate complexity into technical roadmap
Seniority
Staff/Principal, hands-on IC with organizational leverage (via careerplan.io/jobs/D9-006-E6-D6A-principal-data-engineer-at-ledgebrook)