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Owner

Data Platform Engineer

Remote (Remote)$190k–$220kfulltimemidAdded today

About this role

Owner is seeking a Data Platform Engineer to build and scale foundational data infrastructure supporting analytics, AI, and decision-making across the organization. You'll migrate legacy systems into production-grade dbt pipelines, own the semantic layer for AI systems, and create self-service data capabilities for analysts and engineers.

What you'll do

  • Design and implement scalable data ingestion, transformation, and orchestration pipelines using dbt, Dagster, and Snowflake
  • Migrate existing analytics workflows from Hex into reproducible, production-grade dbt infrastructure
  • Build and maintain semantic layers that enable AI systems and teams to query data effectively
  • Establish data observability and quality frameworks using tools like Metaplane
  • Develop reverse ETL and BI solutions to operationalize data across the organization
  • Create self-service data platforms for analysts, engineers, and AI systems

What they're looking for

  • dbt and SQL
  • Data warehouse architecture (Snowflake)
  • ETL/ELT pipeline design and orchestration (Dagster)
  • Data modeling and semantic layer development
  • Fivetran or similar data ingestion tools
  • Data observability and quality monitoring
  • Python or similar programming language
  • AI/ML data infrastructure
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Owner

Owner builds an AI platform designed for local businesses, particularly restaurants, enabling owners to operate their services through conversational AI agents. The company is hiring for both software engineers to develop its AI platform and IT support specialists to manage technology infrastructure as it scales.

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Likely interview questions

  • Walk us through your experience migrating legacy analytics systems into modern dbt-based architectures—what were the biggest challenges?
  • How would you approach designing a semantic layer that serves both traditional BI users and LLM-based AI systems?
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