Azure Databricks Data Engineering Lead (17305-1) Seattle, WA Experience level: Mid-senior Experience required: 7 Years Education level: Bachelors degree Job function: Information Technology Industry: Information Technology and Services Pay rate : Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Job Description • 7+ years of experience in Databricks, Microsoft Azure, PySpark and Python. • Lead large-scale, complex, cross-functional projects to build the technical roadmap for the WFM Data Services platform. • Lead and review design artifacts. • Build and own the automation and monitoring frameworks that showcase reliable, accurate, easy-to-understand metrics and operational KPIs to stakeholders for data pipeline quality. • Execute proof of concept on new technology and tools to pick the best tools and solutions. • Support business objectives by collaborating with business partners to identify opportunities and drive resolution. • Communicate status and issues to Senior Starbucks leadership and stakeholders. • Direct project team and cross-functional teams on all technical aspects of the projects. • Lead with engineering team to build and support real-time, highly available data, data pipeline and technology capabilities. • Translate strategic requirements into business requirements to ensure solutions meet business needs. • Define and implement data retention policies and procedures. • Define and implement data governance policies and procedures. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. • Enable team to pursue insights and applied breakthroughs, while also driving the solutions to Starbucks scale. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of structured and unstructured data sources using big data technologies. • 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. Additional Notes: • Please submit the candidate's resume in PDF format. • Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered. • Please note that TCS does not consider former full-time employees (FTEs) for rehire. Additionally, individuals who have previously worked at TCS as contractors must observe a minimum waiting period of six months before being eligible for re-engagement.