Sr. Manager, Field Engineering - High Tech and MFG
Application analysis
Sr. Manager, Field Engineering - High Tech and MFG at Databricks is a forward deployed data & ai platform role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Forward Deployed Engineer role centers on embedded customer delivery — discovery, prototyping, integration, and production rollout. Key signals from the listing: Senior scope.
About Databricks
Databricks sells a unified data platform to enterprises. Forward deployed engineers help customers migrate workloads and prove value on live data. The role is anchored in San Francisco, California, so expect on-site customer work in that region.
Signals in the listing
Stand out for Sr. Manager, Field Engineering - High Tech and MFG
- Lead your application with one paragraph tying Sr. Manager, Field Engineering - High Tech and MFG to a specific customer or deployment you owned — Databricks hires for shipped outcomes, not tool lists.
- Prepare a 5-minute “week one on site” plan: who you would meet, what you would inspect in their stack, and what artifact you would deliver by day five.
- Show you can go from discovery notes → working integration → production checklist without needing a large internal team.
- This role is tied to San Francisco, California — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Databricks
- Demonstrate Spark/SQL fluency with a concrete example — Databricks will probe for specifics, not buzzwords.
- Demonstrate enterprise stakeholder management with a concrete example — Databricks will probe for specifics, not buzzwords.
- Strong candidates show they can whiteboard a lakehouse migration and then actually implement the first milestone.
- Read recent engineering blog posts, product launches, and customer stories on databricks.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
Req ID - FEQ327R499
Location: San Francisco Bay Area, CA
While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Western United States. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI. Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale. Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing and HiTech Enterprise Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market.
The impact you will have:
You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. Make your customers extremely successful with Databricks and provide outsized value to their businesses. You will maintain a robust hiring pipeline at all times. Establish relationships across the business t