principal data engineer- Enterprise Analytics

Job Summary and Mission

The principal data engineer is a senior-level position responsible for designing, building, and maintaining complex data systems and applications for Starbucks.

Primary job functions

Architecture design:

Lead the design and development of a scalable and reliable data architecture for large-scale data processing systems. Ensure that data pipelines are designed to meet the business’s specific requirements and can handle the increasing amount of data.

Data modeling:

Lead the design of data models and schema designs for a Transactional, operational, and Analytical data environment. This includes defining data structures, data types, and data relationships.

Data pipeline design:

Lead the design of data pipelines that enable efficient data processing and transformation.

Data storage and management:

Responsible for designing and implementing data storage solutions that enable efficient data retrieval and management. Work with various database technologies and Azure cloud storage platforms to ensure the data is stored securely and is easily accessible.

Performance optimization:

Optimize data processing and storage systems to ensure they perform efficiently. Identify bottlenecks and performance issues and implement solutions to improve overall system performance.

Team leadership:

Mentors a team of lead engineers through influence and expertise, providing project guidance and direction and ensuring that engineering team members meet their goals and objectives.

Data Taxonomy Design:

Primary contributor to the data taxonomy, defining data classes to support the full data lifecycle supporting related business functions.

Platform Design:

Design and govern the data platform patterns supporting consistent data storage and compute utilization for data Engineering and data analytics needs.

Consultant:

Acts as a consultant for the Data Engineering, Decision Science, and Data Science leaders to develop a holistic operational and Analytical platform to develop a foundation for developing robust cross-domain, Enterprise AI solutions.