Databricks Engineering Manager
- Program Leadership: Lead large-scale data and AI programs, serving as the subject matter expert for teams implementing solutions across the entire Databricks platform.
- 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.
- 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.
- 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.
- 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.
- Master's or PhD degree in a relevant STEM field
- 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
- 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
- Exceptional communication and stakeholder management abilities, including experience with executive-level communication.
- Professional Databricks certifications are preferred.
- Public sector experience preferred
- Active public sector clearance preferred
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