Join Tubi (, a division of FOX Entertainment, a premium streaming service leading the charge in making entertainment accessible to all. Headquartered in San Francisco, Tubi is an ad-supported video on demand (AVOD) service with movies and television shows. With over 30,000 titles from every major Hollywood studio, Tubi gives fans of movies and television shows an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming. Our services are currently available in the US, Canada, Australia, New Zealand, and Mexico.

About the Role: 

The Tubi Data Warehouse team is looking for a hands-on leader! As Tubi continues to grow, an insatiable appetite for data grows with it. Our 500+ TB scale data warehouse was built by a small team of 2 engineers, and has grown from supporting 10-20 people querying at peak usage, to 100s of people querying at peak usage in a matter of months. As business verticals grow and require more domain-specific metrics, we need to grow with them.  The Lead Data Warehouse Engineer will make sure we can support each business vertical with performant, scalable and accurate datasets. Leading the Data Warehouse team you will have an opportunity to have an outsize impact on an organization where data is central to all that Tubi does.

We are currently mandatory work from home, but for the long-term we would like this hire to be located near San Francisco. 


  • Build and scale Tubi's primary Data Warehouse. You will start with a team of at least 2 direct reports and will scale the team out to at least a team of 5
  • Your team is responsible for all things Data Warehouse, this includes everything from DBA work (cost, cluster, network and permission management) to ETL to build out base datasets for business & reporting users
  • You and your team will turn over 500 TBs of fascinating event data into easily consumable metrics that drive the entire business. This includes growth analytics, product analytics, data science, content analysis, ads and revenue, and user identity management
  • You will be a hands-on leader, directing and guiding your team by example. You will be expected to be technical and competent in devops, dba, etl, python tasks, but still big-picture enough to build a well-oiled, self-sustaining team that solves business needs
  • You will manage and automate a regular release cadence that continuously delivers on a progressive roadmap
  • You will make sure that the Data Warehouse platform scales with the organization, keeping up to speed with the latest in cloud and serverless warehouse technologies
  • As part of Data Engineering, you will work closely with team leadership to ensure the Data Warehouse is an effective piece of the overall Tubi data platform. Your leadership will be expected to help simplify query access, data discovery, onboarding & usability

Your Background:

  • Bachelor's degree from an accredited university, or equivalent work experience 
  • Hands-on experience building out TB to PB scale data warehouses from scratch
  • Deep understanding of columnar storage, data modeling at scale, and cloud data warehouse platforms (AWS Redshift referred, or comparable experience with BigQuery or Snowflake)
  • Experience being a team lead & comfortable managing a small proactive team.
  • Excellent communication / coordination skills to work with a cross functional team to onboard new datasets for diverse business verticals
  • Experience working with Terraform, and building CI/CD pipelines for data applications
  • Strong experience in python (scala a plus)
  • Experience with DBT, Airflow, and Spark a plus
  • Past experience as a DBA a plus

Tubi is proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company.

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