Data Platform Engineer

We’re starting by helping independent restaurants succeed online.

But it’s not just restaurants that need our help. Most local businesses are struggling with these same problems. Huge technology corporations are taking their customers, bleeding their profits, and making it hard for them to survive.

Once we nail the solution for restaurants – we’ll scale it into every other local business type.

In the future we envision, tens of millions of local business owners will use our technology to succeed in the digital age.

Since 2020, we've generated tens of millions in revenue and processed over a billion dollars of online orders. 1 in 5 Americans have used an Owner.com website.

More importantly, we’ve helped over 20,000 restaurant owners, and saved them nearly $200 million in fees.

Our team is now in the low hundreds. We’ve got top talent from the most successful companies in SMB software, including: Shopify, HubSpot, DoorDash, ServiceTitan, Rappi, Faire and Stripe.

We’ll be scaling even faster in 2026 to keep pace with our customer growth.

Owner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. For a few of our roles we prioritize in-person collaboration at one of our office locations. Most of our teammates are distributed throughout the globe. Please review the role description and discuss with your recruiter for more details on location!

We are looking for a mission-driven Data Platform Enginer to build Owner's data platform - the foundational systems that power analytics, AI, and decision-making across the company.

The Data Platform team owns everything data flows into and out of: ingestion, transformation, storage, orchestration, and the reverse ETL, semantic layers that put data back in the hands of the teams and products that need it, and infrastructure for our internal BI system. Today that system works, but part of it was built outside of SOT (in Hex) and needs to be migrated into DBT. You'll replace it with reproducible, production-grade infrastructure - and then make it self-service for the analysts, engineers, and AI systems that depend on it.

This is an exciting role to build out the foundations of our data platform. The team is four engineers and growing, there is very little legacy to work around, and the decisions you make in your first year will define how Owner uses data for years. Depending on your interests, there is room to focus on core pipeline and platform infrastructure, or on the semantic layer that sits between LLMs and our data and defines how AI queries it.

This role is 100% remote and can be based anywhere in the United States or Canada. For San Francisco-based candidates - we also have a new HQ in the Presidio for optional in-person collaboration.

• 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

Communication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address.

We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as your mailing address, social security number, credit card numbers or banking information. If you believe you are being contacted by a scammer, please mark the communication as "phishing" or “spam” and do not respond.