senior engineer, Enterprise Data & Analytics Platform (Seattle, WA)
Core
Build reliable data services and AI-enabled analytics experiences on the Databricks platform to power continuous data processing, real-time analytics, and AI-assisted decision making for Starbucks teams.
Role type
Senior IC data & AI engineer (Lakehouse & Genie)
Builds
Databricks Lakehouse solutions, Databricks Genie spaces, semantic models, curated datasets, and governed self-service analytics pipelines.
Domain
Retail / Enterprise Data & AI
Deliverable
production ML models
Required skills
Databricks Lakehouse, Delta Lake, PySpark, SQL, Unity Catalog, Databricks Genie, RAG, agentic workflows, CI/CD, data modeling, data quality, observability
Preferred skills
AI-assisted engineering tools, MLflow, Mosaic AI, vector search, Design Thinking, high-volume customer environment experience
Technologies
Databricks, Delta Lake, PySpark, SQL, Unity Catalog, GitHub Actions, Declarative Automation Bundles
Responsibilities
Design and build Databricks Genie spaces and semantic models; develop batch and real-time pipelines; implement responsible AI safety and access controls; tune performance and resolve platform issues; establish CI/CD and monitoring practices; mentor other engineers.
Seniority
Senior, hands-on IC
