Build and own the modern data platform as the first dedicated data engineering hire, focusing on ingestion, Snowflake/dbT infrastructure, governance, observability, and AI/ML data foundations. Requires 5+ years building production data platforms with strong SQL, Snowflake, and dbt experience.
Salary not listed
Hybrid5+ YOEData Engineering
About the role
Key Responsibilities
Own and improve data ingestion and orchestration across our modern data stack.
Build a scalable, reliable, and cost-efficient Snowflake platform.
Partner on dbt architecture, testing, CI/CD, and data modeling best practices.
Improve observability, monitoring, and platform reliability.
Build the governance, semantic layer, and self-service capabilities that power trusted analytics and AI.
Help establish production-ready infrastructure for AI and machine learning workloads.
Turn recurring operational pain points into automation, tooling, and reusable platform capabilities.
Requirements
5+ years of experience building modern data platforms or infrastructure.
Owned production data pipelines and cloud data warehouses.
Highly proficient in SQL.
Experience with Snowflake and dbt (or similar technologies).
Improved platform reliability, performance, and cost through thoughtful architecture and automation.
Care about building trusted, well-governed data systems that enable self-service analytics.
Excited about the role AI will play in the modern data platform.
Communicate technical tradeoffs clearly and enjoy enabling other engineers and business teams.
Nice-to-Haves
Experience with RudderStack, Fivetran, Omni, or Metabase.
Background in building infrastructure, governance, and semantic layers for AI agents and human users.
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