Lead Data Engineer

Lead Data Engineer - - 359514

Deloitte US

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Lead Data Engineer

Data and Analytics | Data Engineering

Same job available in 31 locations

Arlington/Rosslyn, Virginia, United States Atlanta, Georgia, United States Boston, Massachusetts, United States Charlotte, North Carolina, United States Cincinnati, Ohio, United States Cleveland, Ohio, United States Columbus, Ohio, United States Dallas, Texas, United States Denver, Colorado, United States Detroit, Michigan, United States Houston, Texas, United States Indianapolis, Indiana, United States Kansas City, Missouri, United States Los Angeles, California, United States McLean, Virginia, United States Miami, Florida, United States Minneapolis, Minnesota, United States Morristown, New Jersey, United States Nashville, Tennessee, United States New York, New York, United States Philadelphia, Pennsylvania, United States Pittsburgh, Pennsylvania, United States Sacramento, California, United States San Diego, California, United States San Francisco, California, United States San Jose, California, United States Seattle, Washington, United States St. Louis, Missouri, United States Stamford, Connecticut, United States Tampa, Florida, United States Tempe, Arizona, United States

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Position Summary

Deloitte is seeking a Lead Data Engineer– Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate business needs into scalable data platform capabilities using Databricks and cloud-based technologies. The ideal candidate brings strong experience leading delivery teams, advising stakeholders, and driving solution execution across complex environments. Recruiting for this role ends on 07/31/2026. Work you'll do • Leading the design and delivery of Databricks-based data and analytics solutions for client engagements • Managing project teams and workstreams across requirements gathering, solution design, development, testing, and deployment • Translating business and technical requirements into scalable data pipelines, data models, and platform capabilities • Advising client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms • Overseeing solution quality, issue resolution, and delivery progress while supporting project economics and timeline management A successful candidate would possess these skills: * Ability to work independently and collaborate as part of a team * Effective written and verbal communication skills * Meticulous attention to detail and quality of work product * Ability to build and sustain professional relationships * Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong interpersonal skills and professional demeanor * Ability to meet deadlines * Ability to provide clear guidance to others The Team This team supports clients as they modernize their data environments and build scalable platforms for analytics, reporting, and decision-making. Professionals