Note: The job is a remote job and is open to candidates in USA. Owner is an AI-native system helping local business owners succeed, starting with restaurants. The Data Platform Engineer will build and evolve foundational data systems for analytics, AI, and business intelligence, including ingestion, transformation, storage, orchestration, reverse ETL, and semantic layers. The role will also improve data reliability, enable self-service tooling, optimize platform performance and cost, and provide technical guidance to peers.
Responsibilities
- 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
Skills
- This role is 100% remote and can be based anywhere in the United States or Canada
- • 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
Benefits
- Generous pre-IPO equity package
- Comprehensive health coverage
- Work from anywhere (remote-first workplace)
- Unlimited PTO
- Extra fun perks
Company Overview
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