Lead Data Platform Engineer - Build Scalable Data Systems

Starbucks; Boise (ID); On-site; USD 57,308,160 - 85,962,240; Full time

Job summary

Starbucks, based in Boise, Idaho, seeks a Principal Data Engineer to lead the planning, building, and management of complex data infrastructure and applications. This role focuses on scalable data platforms, robust data modeling, and governance to enable end-to-end data lifecycle across analytics and operations.

The candidate will drive architecture, design data models, and build pipelines, while mentoring senior engineers and collaborating with data science teams to meet business goals.

Qualifications

• Extensive cloud data platform experience (Azure/AWS/GCP).
• Proficient in Spark and Databricks for large-scale processing.
• Strong data modeling for structured and unstructured data.
• Experience with data catalogs and metadata management.
• Ability to design scalable data pipelines for analytics and operations.
• DataOps/DevOps experience for data engineering.
• Excellent communication and cross-functional collaboration.
• Deep understanding of the data lifecycle and business impact.

Responsibilities

• Lead architecture of scalable data platforms to meet business needs.
• Design data models and schemas for structured and unstructured data.
• Develop data pipelines enabling efficient data flow and transformation.
• Plan and implement data storage solutions for high performance and reliability.
• Optimize data processing and storage systems for performance.
• Identify bottlenecks and deliver continuous improvement solutions.
• Mentor a team of senior engineers with leadership guidance.
• Support data science initiatives and define data classes for end-to-end lifecycle.
• Plan and oversee data platform designs for predictable ingestion and governance.
• Act as domain expert in data engineering, analytics, and data science, fostering collaboration.

Skills

Cloud platforms

Spark & Databricks

Data modeling

Data catalog

Data pipelines

DataOps/DevOps

Stakeholder communication

Communication & presentation

Data lifecycle

Tools

Azure

AWS

GCP

Databricks

Job description

Starbucks, based in Boise, Idaho, seeks a Principal Data Engineer to lead the planning, building, and management of complex data infrastructure and applications. This role focuses on scalable data platforms, robust data modeling, and governance to enable end-to-end data lifecycle across analytics and operations.

The candidate will drive architecture, design data models, and build pipelines, while mentoring senior engineers and collaborating with data science teams to meet business goals.