Manager, Forward Deployed Engineering

(REQ ID: CSQ427R209)

Databricks is redefining what organisations can achieve with data and AI. As the unified platform powering the worlds most ambitious data-driven enterprises we sit at the intersection of cloud migrations AI transformation and real-time intelligence and our customers challenge us every day to go further.

As Manager Forward Deployed Engineering you will lead a high-performing team of Forward Deployed Engineers (FDEs) at the forefront of this transformation. Partnering with Databricks most strategic enterprise customers you will shape how leading organisations migrate to the lakehouse build next-generation AI and GenAI systems and unlock sustained business value from their data investments.

As a people leader you will build and scale a team that represents Databricks highest standard of technical excellence and customer impact. Your team will partner with enterprises across industries to architect and deliver mission-critical solutions from large-scale data migrations and legacy modernisation programs to cutting-edge generative AI MLOps and AI agent deployments. You will set the bar for delivery quality grow world-class talent and drive the strategic governance framework that ensures every engagement is executed with precision and measurable impact.

The impact you will have:

• Oversee regional performance targets including billable utilisation team growth and hiring while championing delivery excellence and customer success across the FDE portfolio.
• Partner with Account Executives Engagement Managers and Field Engineering leaders to position scope and deliver transformational Professional Services (PS) programs spanning data migrations AI/ML platforms and advanced analytics.
• Establish best practices for project oversight risk management and quality standards that scale with a growing FDE practice ensuring projects are delivered on time and to specification.
• Synthesise field insights from your teams engagements to provide direct feedback to Engineering and Product management helping to guide the Databricks roadmap while driving the creation of reusable customer accelerators and frameworks.
• Serve as the critical escalation point for high-stakes customer situations leveraging deep technical credibility and leadership judgment to protect strategic relationships and drive rapid resolution.
• Mentor Forward Deployed Engineers through structured career pathways technical coaching and a culture of innovation mastery and continuous growth.

What we look for:

• Key requirements

  • 4 years leading high-performing technical delivery teams with a proven track record building excellence-driven cultures
  • 5 years as a technical solutions architect or data/AI engineer providing coaching credibility
  • Proven technical depth to personally build with AI coach teams with best practices drive organisation-wide adoption
  • Demonstrated success leading large-scale data platform migrations and AI/ML programs in enterprise environments
  • Strong understanding of technical project delivery including scope timelines and SOW management
  • Strong stakeholder management skills navigating complex high-stakes customer environments
  • Ability to travel to customer sites approximately 20% of the time

  Nice-to-Haves

  • Familiarity with Databricks Apache Spark MLflow Delta Lake or the modern data and AI ecosystem
  • Consulting / professional services background with a hands-on technical foundation
  • Prior experience at a hyperscaler (Google AWS Azure) or a top data/AI company
  • An in-house/industry stint alongside vendor-side delivery experience

About the Team

Forward Deployed Engineering sits at the frontier of Databricks delivery engineers who embed with enterprise customers to architect and build full-stack data and AI solutions on the platform. The Amsterdam team serves customers across the region undergoing data and AI transformation and is growing its practice with a focus on delivery excellence and AI-native solutions. More than 10000 organisations worldwide including over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform.

#LI-hybrid

Required Experience:

Manager

Employment Type : Full Time
Experience: years
Vacancy: 1