Databricks Engineering Manager

Engineering Manager for Deloitte's AI & Engineering team, focusing on leading the delivery of data and AI programs using the Databricks Platform. Responsibilities include managing teams, client relationships, and strategic solution design across data engineering, BI, and AI/ML, with a focus on enterprise AI built on Databricks.

What you'd actually do

  1. Program Leadership: Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform.
  2. Client Relationship Management: Build and maintain strong relationships with clients, acting as a trusted advisor on their holistic data and AI strategy, providing insights from practical, large-scale project experience.
  3. Team and Practice Development: Lead, coach, and develop teams of data engineers, data scientists, and architects. Support business development and contribute to the growth of the practice.
  4. Strategic Solution Design: Design complex, data-driven solutions and architectures that integrate data engineering, BI, and AI/ML capabilities to meet our clients' strategic technology goals.
  5. Technical Oversight: Provide expert guidance on project delivery, define success criteria, and ensure the adoption of industry best practices for data governance (Unity Catalog), security, and MLOps.

Skills

Required

  • Master's or PhD degree in a relevant STEM field
  • 7+ years of real-world experience leading the delivery of complex, large-scale data and AI initiatives utilizing the breadth of the Databricks platform.
  • 5+ years of experience with the latest Databricks features including Lakeflow Connect, Lakebase, Agent Bricks, Model Serving, Genie, and Databricks Apps.
  • 2+ years of experience leading and managing cross-functional teams of technical professionals on challenging client engagements.
  • 2+ years of experience in data strategy, modern data architectures, data governance, and best practices for enterprise AI built on Databricks.
  • Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

Nice to have

  • Professional Databricks certifications are preferred.
  • Public sector experience preferred
  • Active public sector clearance preferred

What the JD emphasized

  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Must be able to obtain and maintain a US government security clearance

Other signals

  • leading delivery of transformative data and AI programs
  • Databricks Platform
  • data engineering, business intelligence, and AI/ML
  • data strategy, modern data architectures, data governance, and best practices for enterprise AI built on Databricks