> Markdown version of [/jobs/ext/3674083-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/3674083-lead-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Engineer - **Company:** Deloitte T.T.L. - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $134,500.0 - $265,100.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Information Engineering, Data Governance, Data Infrastructure, Python (Programming Language), SQL Databases, Data Streaming, Google Cloud, Cloud Platform System, Apache Spark, Data Lakes, Machine Learning Operations, Data Pipelines, Databricks - **Published:** October 10, 2026 - **Apply:** https://dejobs.org/x/x/AD0E70F836D24A559B33BF098479937C/job/ ## About the Role * 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. 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 ## Description * 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 in this area work across strategy, architecture, implementation, and deployment to help organizations improve how they manage and use data. The team often collaborates with business and technology stakeholders to deliver cloud-enabled, enterprise-scale solutions.