Manager, Forward Deployed Engineering
Databricks · Amsterdam, Netherlands · Professional Services Operations · listed July 2, 2026
The shape of it
Seniority
Manager
Where
Hybrid
Requirements listed
8
Length
820 words
In the posting’s own words
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 10,000 organisations worldwide — including over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform.
What it asks for · 8
- Key requirements Nice-to-Haves
- 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
What the job covers
- 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 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.
Tools and skills named
Data
- Databricks7×
- Spark2×
- Data warehouse
Cloud & infra
- AWS
- Azure
Go to market
- Customer success
- Solutions architecture
Models & research
- Machine learning2×
Product & design
- Product management
- Roadmap
Ways of working
- Mentorship2×
Operations & finance
- Stakeholder management
Security & compliance
- Risk management
Words the posting leans on
- customer10×
- data9×
- technical8×
- delivery7×
- enterprise5×
- platform5×
- build4×
- engineering4×
- engineers4×
- forward deployed4×
- management4×
- migrations4×
- practice4×
- solutions4×
- architect3×
- drive3×
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