Starbucks
A Director of Engineering at Starbucks leads the next generation of enterprise data platforms and AI-ready systems, focusing on data governance, cataloging, and semantic layers. The role involves scaling multi-layered engineering organizations to deliver self-serve analytics, natural language to SQL interfaces, and unified data architectures. This position requires deep expertise in data platforms, AI/ML lifecycle management, and executive stakeholder alignment to drive innovation across the company.
Headquarters
Seattle, Washington, United States
Company Size
10001+ employees
Founded
1971
Starbucks Coffee Company is a global coffeehouse chain and consumer packaged goods company that operates thousands of company‑owned and licensed stores offering handcrafted espresso beverages, brewed coffee, tea, pastries and light meals. It also sells packaged whole‑bean and ready‑to‑drink coffees and merchandise through its stores and retail partners. Starbucks emphasizes digital convenience via the Starbucks® Rewards program, mobile order & pay and gift card management, while promoting ethical sourcing and sustainability through programs like C.A.F.E. Practices and other environmental and community initiatives. The brand is known for its seasonal menus, consistent in‑store experience, and premium specialty‑coffee positioning.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Starbucks.
Starbucks didn’t post a salary, so this is our estimate from similar listings.
4% above the average for this role