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About the role

  • 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.

Responsibilities

  • 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

  • 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

  • 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

Job title

Job type

Full Time

Experience level

Lead

Salary

$180,000 - $220,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AirflowPythonSQLTerraform

Location requirements

RemoteNorth America

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