{"schemaVersion":"jobsearcher.job.v1","id":"6fb3cae3c394a37d86f158e6","url":"https://jobsearcher.com/jobs/6fb3cae3c394a37d86f158e6","canonicalUrl":"https://jobsearcher.com/jobs/6fb3cae3c394a37d86f158e6","title":"Lead Data Engineer (Databricks & AI)","description":"Lead Data Engineer (Databricks & AI)Location: Washington, DC (Onsite) Key ResponsibilitiesTechnical Leadership: Lead the end-to-end design, development, and deployment of enterprise-scale data and AI solutions within a Databricks environment.Mentorship: Act as a technical catalyst for the team, providing hands-on guidance in Python, Scala, or Java, and fostering a culture of engineering excellence through code reviews and skills development.Pipeline & Model Delivery: Oversee the construction of complex data pipelines, model deployment (MLOps), and integration patterns from concept through to production.Strategic Collaboration: Partner with architects, product owners, and governance leads to ensure all data systems align with the broader enterprise strategy and security policies.Optimization: Drive continuous improvements in platform efficiency, observability, and data quality to ensure high-performance delivery across multiple product teams.QualificationsExperience: 6–8 years of experience in data engineering or AI systems development, showing a clear trajectory of increasing technical leadership.Technical Mastery: Advanced proficiency in SQL, Python (or Scala/Java), and the Databricks ecosystem.Architectural Knowledge: Proven success in leading the delivery of complex data integrations, cloud platforms, and AI-driven initiatives.Process Expertise: Strong background in Agile methodologies, MLOps, and enterprise data governance standards.Education: Bachelor's degree in Computer Science, Information Systems, or a related technical field (equivalent professional experience considered).Soft Skills: Exceptional problem-solving abilities and the communication skills necessary to navigate stakeholders and technical challenges simultaneously.","company":"Georgia IT","rawCompany":"georgia it","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-08-25T04:10:32.469Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer (Databricks & AI)","description":"Lead Data Engineer (Databricks & AI)Location: Washington, DC (Onsite) Key ResponsibilitiesTechnical 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