Principal Data Engineer

Responsibilities

• Lead platform modernization: deprecate legacy workflows, migrate pipelines to scalable patterns, and improve CI/CD and developer experience
• Drive infrastructure and FinOps initiatives across Snowflake, Dagster, and dbt to reduce cost, improve governance, and increase maintainability
• Own platform evolution projects such as making data consumable by agentic tools and improving orchestration across the analytics stack
• Design and deliver complex, domain-critical data products used by analysts, data scientists, and product teams
• Architect reusable, extensible patterns for modeling, orchestration, and transformation
• Lead technical planning across cross-functional teams, breaking down large data initiatives into scoped workstreams
• Mentor engineers, build internal documentation and tooling, and raise standards for analytics engineering
• Partner with engineering, product, data science, and business stakeholders to deliver end-to-end solutions
• Represent Data Engineering in design forums and shape the future roadmap for data

Requirements

• 8+ years in data or analytics engineering with a track record of owning complex, business-critical systems end to end
• Hands-on experience with AWS (deployments, workload management, cloud infrastructure) and the modern data stack (Snowflake, dbt, Dagster, Databricks, Terraform)
• Track record of leading platform migrations, deprecations, or upgrades across shared systems
• Ability to design secure, reusable patterns for data ingestion, access control, and platform automation
• Experience with DevOps practices (CI/CD for data), data governance, or FinOps
• Ability to break down ambiguous, cross-functional problems and lead implementation from design to deployment
• Clear communication across engineers, analysts, product managers, and business leaders
• Drive to mentor others, set standards, and improve systems

Preferred Qualifications

• Experience supporting ML workflows (building features or monitoring model inputs and outputs)
• Background in a fast-growing startup or on platform-style teams that serve internal customers