Principal Data Engineer

Ledgebrook

Staff Data Engineer at Ledgebrook responsible for architecting data platforms and ensuring data governance. Collaborates across teams to drive data-driven decisions and enhance engineering practices.

Posted 7/1/2026full-timeRemote • 🏈 Anywhere in North AmericaLead💰 $180,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowPythonSQLTerraform

About the role

Key responsibilities & impact

Architect the Data Platform – Own the end-to-end design of our data infrastructure.
Make the foundational calls on pipeline architecture, data modeling patterns, and platform evolution across Snowflake, dbt, Airflow, and Terraform.
Define Engineering Standards – Establish and enforce practices around data quality, testing, observability, and deployment that the rest of the team builds on.
Enable Data-Driven Decisions at Scale – Design semantic layers and data models complex enough to support underwriting, finance, and executive strategy.
Drive Data Governance – Own the governance posture: data contracts, SLAs, lineage, and documentation.
Shape the ML and AI Foundation – Partner with data science and engineering leadership to ensure the platform supports advanced analytics, ML pipelines, and AI initiatives.
Elevate the Team – Mentor engineers, conduct rigorous code and design reviews, and actively close skill gaps.
Partner at the Leadership Level – Engage directly with actuarial, underwriting, finance, and product leaders to translate business complexity into technical roadmap.

Requirements

What you’ll need

8+ years of experience in data engineering or analytics engineering
Expert-level command of Python and SQL, with a history of production systems that others maintain and build on.
Deep hands-on experience with Airflow, dbt, Terraform, and Snowflake (or equivalents) in production environments.
Demonstrated ability to own platform architecture decisions end-to-end: design, tradeoffs, delivery, and iteration.
Track record of driving cross-functional alignment on technical direction without relying on positional authority.
Experience building and enforcing data quality, observability, and governance frameworks at scale.
Comfort operating in high-ambiguity environments where you define the path, not just walk it.

Benefits

Comp & perks

Full remote flexibility and asynchronous work culture
Unlimited PTO and fully paid sick leave
Comprehensive health benefits, including medical, dental, and vision coverage, plus HSA and FSA options
Additional financial protection and retirement benefits, including a 401(k), company-paid life insurance, and disability coverage
A high degree of ownership, autonomy, and the opportunity to help build and shape a growing company
The chance to make a meaningful impact while working alongside an ambitious, high-performing team
Exposure to the challenges and opportunities of a fast-growing startup environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ModelingData Quality FrameworksObservability PracticesGovernance FrameworksML Pipeline SupportData ContractsSLA ManagementDeployment StandardsTechnical Roadmap DevelopmentCross-Functional Alignment

Soft Skills

MentoringLeadership EngagementCommunication