Databricks · Engineering · Lead / Manager · Posted 2026-08-20
Sr. Manager, Field Engineering
Databricks · Chicago, Illinois; Connecticut; New Jersey; Remote - New York; Remote - Washington D.C.; San Francisco, California
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FEQ427R411 Req ID
Mission
Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups segment of Databricks’ Field Engineering team. You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and gener ative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help custo mers achieve success through Databricks’ Data Intelligence Platform. You wil scale and maintain an outstanding Field Engineering team that is efficient in its operations to help ac celerate Data bricks' growth in the market.
The Impact You Will Have
You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode
Make your customers e xtremely successful with Databricks and provide outsized value to their businesses
You will maintain a robust hiring pipeline of highly qualified, bar-raising candidates
You will establish relationships across the business to make your customers and team successful
You will keep your team of SAs ah ead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
You will ensure that you r team is continuously learning and working to provide our customers with the most comprehensive solution s for their needs You will engage with customers strategically at the Executive Level to drive mutually beneficial outcomes and set GTM strategy and drive world class execution towards meeting aggressive sales targets
What We Look For
Proven experience building and leading technical pre-sales teams - hiring, on-boarding, coaching and mentoring those teams to mature and grow into highly capable individual operators as well as exceptional team-players
10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI)
Trusted advisor to technical executives that guide strategic data infrastructure decisions
Lead a team through best practices for technical qualification, technical validations, architectu re discussions, and product demonstrations
Establish and foster external partnerships with systems integrators (SIs) and independent software vendors ( ISVs) that maximize and accelerate client success
Strong understanding of consumption-driven business models and the recipes for long term growt h and success
Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles
Create a positive culture and morale for the team - fostering strong working relationships between Field Engineering, Sales, and other importa nt internal cross-functional teams
Experience working cro ss-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success
Must be technical enough to earn the trust of Engineering talent and leadership at Databricks
Ability to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for th is role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databrick s anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more infor …
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