Lead Data Engineer
Job Description
Deloitte is seeking a Lead Data Engineer focused on Databricks to design, build, and deliver modern data and analytics solutions for client engagements. This role supports initiatives that modernize data environments and enable analytics, reporting, and decision-making through scalable platform capabilities.
You will lead teams across requirements gathering, solution design, development, testing, and deployment, translating business and technical needs into reliable data pipelines and data models. The position also includes advising stakeholders on architecture and delivery approaches, while monitoring solution quality and delivery progress.
What you’ll do
- Lead the design and delivery of Databricks-based data and analytics solutions for client engagements
- Manage project teams and workstreams across requirements, solution design, development, testing, and deployment
- Translate business and technical requirements into scalable data pipelines, data models, and platform capabilities
- Advise client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms
- Oversee solution quality, issue resolution, and delivery progress while supporting project economics and timeline management
Requirements
- 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 work and client and industry needs
- Limited immigration sponsorship may be available
- 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 and provide clear guidance to others
Technologies
- Databricks
- Apache Spark
- Python
- Structured Query Language (SQL)
Team context
- The team supports clients as they modernize data environments and build scalable platforms for analytics, reporting, and decision-making
- Work spans strategy, architecture, implementation, and deployment to improve how organizations manage and use data
- Collaboration with business and technology stakeholders is common to deliver cloud-enabled, enterprise-scale solutions
Preferred
- 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
Location and compensation
- Location: Rosslyn, VA (onsite)
- Salary: USD 134,500 - 265,100 per year
Accommodation for applicants with a need for assistance: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...