Lead Data Engineer

Deloitte•Tampa, FL

88d•$134,500 - $265,100•Hybrid

About The Position

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.

Requirements

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
Bachelor’s degree
6+ years of experience delivering data engineering, analytics, or cloud data platform solutions
3+ years of experience with Databricks and Apache Spark
3+ years of experience with Python and Structured Query Language (SQL)
2+ years of experience leading project teams or workstreams
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.

Nice To Haves

Master’s degree
Experience with Delta Lake, Unity Catalog, or MLflow
Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
Experience designing batch and streaming data pipelines
Experience with data governance, data quality, or platform security controls
Experience supporting client presentations, proposals, or solution demonstrations

Responsibilities

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