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Manager, Forward Deployed Engineering

Databricks
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MunichFull-timePosted 5d ago

About the role

Databricks is hiring a Manager, Forward Deployed Engineering to lead a high-performing team of Forward Deployed Engineers (FDEs) in Munich, driving enterprise data migrations, AI/GenAI deployments, and related professional services for strategic customers.

Responsibilities

  • 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.
  • Synthesize field insights from your team’s 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.

Qualifications

  • 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
  • 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
  • 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

Skills

Required:Technical team leadershipTechnical solutions architecture / data engineeringDatabricks and modern data stack familiarityConsulting / professional services

Benefits

  • Benefits described in regional details link (provided in job description)
Last updated Oct 22, 2026. Interested? Apply on the company site.

About Databricks

Leading Data and AI Platform for Enterprises

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

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