Starbucks Tech Stack

Global coffee retailer scaling data infrastructure and store operations

Retail Seattle, WA 10,001+ employees Public Company

Starbucks operates a 10,000+ person organization across retail, supply chain, and corporate functions. The tech stack reflects a maturing data platform built on Databricks, Azure, and Spark, paired with BI tools (Tableau, Power BI) and governance systems (Collibra, ER/Studio) — indicating a push toward enterprise data literacy and cataloging. Hiring velocity is steady across operations (majority), data engineering, and finance, with an active portfolio around inventory optimization, scalable pipelines, and store financial performance.

Tech Stack 60 technologies

Core StackDatabricks Unity Catalog Collibra Python Apache Spark PySpark Scala Java Tableau Pandas Jira Confluence ServiceNow Power BI React TypeScript ER/Studio Azure R SQL Alteryx Excel Word PowerPoint Viva Engage ISO 27001 Databricks SQL Incorta Anaplan Azure Kubernetes Service+29 more

What Starbucks Is Building

◆Challenges

Meeting store financial goals
Grow a successful multi-million dollar business
Supplier performance
Supply chain optimization
Reducing production downtime
Addressing store unique strengths challenges
Modernizing foundations
Metadata management and data governance
Improving store operational performance
Drive sales growth

▲Active Projects

Enterprise-wide adoption of data cataloging and literacy initiative
Pro program implementation
Big-bet product launches
Inventory optimization
Food innovation pipeline
Customer growth framework development
District-level strategy development
Scalable data pipelines
Facilities capital investment
Global coffee innovation initiatives

Hiring Activity

Steady1,400 roles · 500 in 30d

Department

Ops

1337

Data

Finance

Marketing

Product

Operations

Security

Logistics

Seniority

Mid

598

Junior

394

Manager

321

Senior

Lead

Director

Principal

Notable leadership hires: Regional Director

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About Starbucks

Starbucks operates a global coffee and food retail business headquartered in Seattle, WA, with corporate, supply chain, and store operations spanning the United States, Canada, and Singapore. The company employs over 10,000 people across functions including store operations, data and analytics, finance, marketing, and product. Current operational priorities include inventory optimization, supply chain resilience, store-level financial performance, and food innovation. Data infrastructure investments center on cataloging, governance, and pipeline scalability to support store-level decision-making and corporate strategy execution.

HeadquartersSeattle, WA

Company Size10,001+ employees

Hiring MarketsUnited States, Canada, Singapore

Frequently Asked Questions

What is Starbucks' tech stack?

Starbucks uses Databricks, Azure, Tableau, Power BI, Collibra, Apache Spark, Python, R, Scala, and SQL. Governance and collaboration tools include ServiceNow, Jira, and Confluence. Data pipeline and modeling work uses PySpark, Pandas, and Databricks SQL.

Where is Starbucks hiring?

Starbucks is actively hiring in the United States, Canada, and Singapore. The majority of roles are operations-focused, with concentrated hiring in mid-level and junior positions.