Owner.com
11 - 50 employees
🍽️ Food & Beverage
📣 Marketing
💼 Consulting
Food & Beverage • Marketing • Consulting
Owner. com is an all-in-one platform designed to manage a restaurant's digital presence. It empowers restaurant owners by providing them tools for websites, online ordering, marketing, recruiting, and more, enabling them to regain control over their customer relationships and combat high fees imposed by larger corporations. The team is passionate about innovation and customer support.
Director of Data Platform Engineering
🕒 July 16
🌐 United States, Canada – Remote
💵 $250k - $290k / year
⏰ Full Time
🔴 Lead
🚰 Data Engineer
👻 Ghost score 20%
Where this job comes from
Posted on Owner.com's careers page, not through a job board
First seen by Remote Rocketship July 16
Still open on Owner.com's site. Checked 22 hours ago.
Owner.com
11 - 50 employees
🍽️ Food & Beverage
📣 Marketing
💼 Consulting
Food & Beverage • Marketing • Consulting
Owner. com is an all-in-one platform designed to manage a restaurant's digital presence. It empowers restaurant owners by providing them tools for websites, online ordering, marketing, recruiting, and more, enabling them to regain control over their customer relationships and combat high fees imposed by larger corporations. The team is passionate about innovation and customer support.
📋 Description
• Own the end-to-end data platform architecture from source systems to serving, deciding where the stack (today Snowflake, Fivetran, dbt, Sigma, and Hex) consolidates, where it needs rebuilding, and whether it should move toward a lakehouse pattern. • Design the path for order data as it moves off the legacy monolith onto a new source of truth, from event consumption and change data capture through to projections, so it lands in the warehouse correctly and on time. • Bring real modeling rigor and a single semantic layer so core metrics like revenue, conversion, and retention carry one definition everywhere, then make testing, monitoring, and SLAs standard so issues surface before stakeholders see them. • Provide the feature and serving infrastructure that lets restaurant ML run safely and reproducibly, and manage warehouse cost and performance as a first-class engineering metric.
🎯 Requirements
• Roughly 10 or more years in data engineering, data platform, or analytics engineering, including 3 to 5 years leading and building teams that other people depend on. • You treat pipelines like software: version control, code review, automated tests, schema and data contracts, and CI/CD, with changes reviewed before they reach production. • Deep hands-on experience with a modern data stack: a cloud warehouse or lakehouse (Snowflake, Databricks, BigQuery, or Redshift), dbt or similar transformation tooling, orchestration (Airflow, Dagster, or similar), and both batch and streaming (Kafka, Spark, Flink, or equivalents). • Strong data modeling and SQL plus production-quality Python, with proven ownership of data reliability through SLAs, SLOs, quality monitoring, incident response, and root-cause work. • Practical governance experience across lineage, cataloging, and access control, including PII and payments data, and good judgment about where AI and machine learning belong and where they add risk.
🏖️ Benefits
• comprehensive health coverage • remote-first workplace • unlimited PTO • extra fun perks!
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