Azure Databricks Data Engineering Lead
# Azure Databricks Data Engineering Lead **5 Star Global Recruitment Partners** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Azure-Data-Engineer]` `[Databricks-Engineer]` `[Big-Data-Engineer]` `[Data-Engineering-Lead]` `[Lead-Azure-Data-Engineer]` `[Databricks-Data-Engineer]` `[Senior-Azure-Data-Engineer]` `[Senior-Databricks-Engineer]` `[Azure-Databricks-Specialist]` `[Azure-Data-Strategy-Lead]` `[Azure-Databricks-Developer]` `[Data-Engineering-(Databricks)]` --- ### About the Role 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. MUST HAVE: - 7+ years of experience in Databricks, Microsoft Azure, PySpark and Python. Originally posted on Himalayas
- Data-Engineer
- Azure-Data-Engineer
- Databricks-Engineer
- Big-Data-Engineer
- Data-Engineering-Lead
- Lead-Azure-Data-Engineer
- Databricks-Data-Engineer
- Senior-Azure-Data-Engineer
- Senior-Databricks-Engineer
- Azure-Databricks-Specialist
- Azure-Data-Strategy-Lead
- Azure-Databricks-Developer
- Data-Engineering-(Databricks)
Наблюдалась 2026-10-11, впервые 2026-10-11, источник — Himalayas (JSON API).