Azure Databricks Data Engineering Lead
5 Star RecruitmentSeattle, Washington, United States
Posted January 6, 2026
Full Time
About the Company
5 Star Recruitment specializes in connecting employers with top talent across a range of industries. Their core focus is on delivering tailored recruitment solutions that match candidates' skills and career aspirations with employers' strategic objectives. The firm differentiates itself through a rigorous screening process, a robust network of industry experts, and a commitment to building long‑term partnerships with both clients and candidates. By combining deep market knowledge with a personalized approach, 5 Star Recruitment consistently places the right people in the right roles, driving success for both organizations and individuals.
Job Description
Lead large-scale, complex, cross-functional projects to build the technical roadmap for the WFM Data Services platform. Execute proof of concept on new technology and tools to pick the best tools and solutions. Collaborate with business partners to identify opportunities and drive resolution.
Requirements
- 7+ years of experience in Databricks, Microsoft Azure, PySpark and Python
- Lead large-scale, complex, cross-functional projects
- Build and own the automation and monitoring frameworks
- Communicate status and issues to Senior Starbucks leadership and stakeholders
- Direct project team and cross-functional teams on all technical aspects of the projects
- Translate strategic requirements into business requirements
- Define and implement data retention policies and procedures
- Define and implement data governance policies and procedures
- Identify, design, and implement internal process improvements
- Enable team to pursue insights and applied breakthroughs
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Perform root cause analysis to identify permanent resolutions to software or business process issues
