Starbucks is looking to solve real-world issues by enabling AI at the enterprise level through better data management and engineering. They need an Engineering Manager to lead a team in developing foundational data products, a data strategy, and a framework of data products that support various data usage use cases, including AI/ML.
Requirements
- Strong understanding of relationship data
- Deep experience in Graph data technologies
- Comfortable with Taxonomy and Ontology
- Strong SDLC knowledge.
- Previous hands-on data engineering or coding experience
- Deep understanding of the process, including Waterfall and Agile methodologies
- Deep understanding of SDLC
Responsibilities
- Develops and maintains a data strategy that creates foundational data products supporting all Starbucks data personas and use cases.
- Develops a framework of data Products that supports all data usage use cases, including Operational reporting, Analytics, and AI/ML.
- Builds and maintains a coherent set of tools and technologies to support an enterprise Data and Analytics capability.
- Develops and documents implementation patterns, supporting common requirements and business needs.
- Applies the most appropriate technology to the specific use case.
- Researches and proposes technology, methods, and approaches to support new emerging trends in Starbucks data usage.
- Acts as a consultant to Data Science and Analytics teams to follow engineering practices.
Other
- Leadership experience – 4+ years.
- Project or Product execution – 5+ years.
- Enterprise Data experience – 5+ years.
- We believe we do our best work when we're together, which is why we're onsite four days a week.
- Starbucks Coffee Company is an equal opportunity employer.
