Manager, Forward Deployed Engineering
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead a team of Forward Deployed Engineers working with strategic enterprise customers on data migrations, legacy modernisation, GenAI, MLOps and AI agent deployments. You will oversee regional performance targets, partner with sales and field leaders, establish delivery best practices, handle escalations and mentor your engineers.
Requirements
- 4+ years leading high-performing technical delivery teams
- 5+ years as a technical solutions architect or data/AI engineer
- Familiarity with Databricks, Apache Spark, MLflow, Delta Lake, or the modern data and AI ecosystem
- Consulting / professional services background with hands-on technical foundation
- Success leading large-scale data platform migrations and AI/ML programs
- Understanding of technical project delivery including scope, timelines, and SOW management
- Strong stakeholder management skills
- Ability to travel to customer sites approximately 20% of the time
- Nice to have: experience at a hyperscaler or top data/AI company
- Nice to have: in-house/industry stint alongside vendor-side delivery experience
Responsibilities
- Oversee regional performance targets including billable utilisation, team growth, and hiring
- Partner with Account Executives, Engagement Managers, and Field Engineering leaders to scope and deliver PS programs
- Establish best practices for project oversight, risk management, and quality standards
- Synthesise field insights into feedback for Engineering and Product and create reusable accelerators
- Serve as escalation point for high-stakes customer situations
- Mentor Forward Deployed Engineers through career pathways and technical coaching