# Manager, Forward Deployed Engineering

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Amsterdam, Netherlands
**Role:** Solutions Architecture
**Experience:** 5+ years
**Skills:** Databricks, Spark, MLflow, Delta Lake, Artificial Intelligence, Machine Learning, Generative AI, MLOps, Data Migrations, Technical Project Delivery, Stakeholder Management, Statements Of Work
**Posted:** 2026-08-11

> Leads a Forward Deployed Engineering team delivering enterprise data migrations, AI/ML platforms, and generative AI solutions. The role combines people leadership, technical coaching, customer escalation management, delivery governance, and strategic stakeholder collaboration.

## Job Description

## Responsibilities

- Lead and scale a high-performing team of Forward Deployed Engineers serving strategic enterprise customers.
- Oversee regional performance targets, including billable utilization, team growth, and hiring.
- Partner with Account Executives, Engagement Managers, and Field Engineering leaders to position, scope, and deliver Professional Services programs involving data migrations, AI/ML platforms, and advanced analytics.
- Establish project oversight, risk management, and quality standards to ensure engagements are delivered on time and to specification.
- Synthesize field insights for Engineering and Product Management to help guide the product roadmap and create reusable customer accelerators and frameworks.
- Serve as the escalation point for high-stakes customer situations and drive rapid resolution.
- Mentor engineers through career pathways, technical coaching, and continuous growth.

## Requirements

- 4+ years leading high-performing technical delivery teams and building excellence-driven cultures.
- 5+ years as a technical solutions architect or data/AI engineer, with experience coaching technical teams.
- Technical depth to build with AI, coach teams on best practices, and drive organization-wide adoption.
- Experience leading large-scale data platform migrations and AI/ML programs in enterprise environments.
- Strong understanding of technical project delivery, including scope, timelines, and statements of work (SOW) management.
- Strong stakeholder management skills in 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, and the modern data and AI ecosystem.
- Consulting or professional services experience with a hands-on technical foundation.
- Experience at a hyperscaler such as Google, AWS, or Azure, or at a data/AI company.
- In-house or industry experience alongside vendor-side delivery experience.

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**Apply:** https://hotfix.jobs/jobs/55a297fe-2b60-4943-877e-cef5aa8bf290
**Canonical:** https://hotfix.jobs/jobs/55a297fe-2b60-4943-877e-cef5aa8bf290