Position Details
About this role
Starbucks is seeking a lead data solution architect to guide enterprise data modeling, architecture, governance, and integration efforts, ensuring scalable and secure data platforms.
Key Responsibilities
- Data Modeling and Design
- Data Architecture Development
- Data Governance Policies
- Data Lake Management
- Data Integration and Performance Tuning
Technical Overview
The role involves designing data models, architecture, and governance frameworks, with experience in Databricks, Azure, and data management tools, supporting analytics, AI/ML, and reporting.
Ideal Candidate
The ideal candidate is a senior data architect with extensive experience in enterprise data modeling, architecture design, and data governance frameworks. They possess strong technical expertise with platforms like Databricks and Azure, and can translate business needs into scalable data solutions.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Databricks or Azure, No background in data modeling or architecture, Unwillingness to work in hybrid mode in Seattle, Lack of experience with data governance tools
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