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Sr. Manager, Field Engineering - High Tech and MFG

Databricks•San Francisco, California
Full-timeSenior
👁️ 3 views•📝 0 applications•Posted 7/2/2026•Expires 10/14/2026
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Job 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 to make your customers and team successful. Partner with sales leadership to hit sales and consumption targets while ensuring customer success</li

Required Skills

enterprise softwarebig data/analyticsdata engineering

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