Data Platform Engineer

Ingestion: Fivetran, Portable

Transformation: dbt, Hex

Storage: Snowflake

Orchestration: Dagster

Observability: Metaplane, Select.dev

Tracking: PostHog, GA4

Reverse ETL: Hightouch, Fivetran/Census

BI: Sigma, plus an internal solution

Design and build the data systems that power analytics, AI, and business intelligence across Owner

Replace one-off custom scripts with reproducible, production-grade pipelines

Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers

Improve data reliability, consistency, and compliance so every stakeholder can trust the numbers

Move the team to self-service tooling for analysts and partners

Identify and drive cost and performance optimizations across compute, storage, and processing

Drive technical decisions and best practices for ingestion, transformation, orchestration, and storage

Provide thoughtful code reviews and technical guidance to peers, and help us build a great team

The Data Platform team - four engineers today, plus the teammates we're hiring alongside you - reporting into Data Platform leadership

Data analysts, product engineers, and business teams across Owner (marketing, sales, ops, finance) who depend on this data every day

Product and Engineering leadership, on both internal decision-making and customer-facing product use cases

5+ years of data engineering or analytics engineering experience

Strong SQL and Python fluency

Hands-on production experience with Snowflake

Deep ETL/ELT fundamentals, including dbt and a modern orchestrator such as Dagster or Airflow

Proven track record of impact-driven problem-solving in fast-paced environments, with a strong focus on high-quality, reliable, and performant systems

Excellent technical communication skills, with experience collaborating across both technical and non-technical stakeholders

Comfort building from zero - strong opinions, real energy for the work, and the ability to create structure where none exists

A sense of ownership, curiosity, and commitment to continuous learning

Experience building a semantic layer, or data infrastructure for AI/ML and LLM retrieval (RAG, feature stores, dataset compliance)

Experience with reverse ETL or personalization platforms

Databricks experience (we run Snowflake today)

Experience with data governance, access control, and cost optimization for large-scale data platforms

Experience mentoring engineers and fostering a culture of learning and technical excellence

Genuine interest in the product and our customers - helping local businesses succeed, not infrastructure for its own sake

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