Databricks Engineering Manager

Responsibilities

• 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.
• The Team

Requirements

• Required:
• 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
• Preferred:
• 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
• You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
• Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a

Additional Information

Position Summary Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You'll Do As a Manager in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients, capitalizing on the comprehensive capabilities of the Databricks Platform. In this leadership role, you will be responsible for managing teams, building client relationships, and driving the strategic direction of our services across data engineering, business intelligence, and AI/ML. You'll collaborate with C-level executives to innovate and deliver measurable business value.

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