Manager, Field Engineering
Databricks · Sao Paulo, Brazil · Field Engineering - FE Direct Enterprise · listed September 3, 2026
The shape of it
Seniority
Manager
Experience asked
5+ years
Where
Not stated
Requirements listed
11
Length
669 words
In the posting’s own words
Reporting to an AVP, Field Engineering, the Manager, Field Engineering will help lead a team of Solutions Architects (SAs). You will lead and promote a diverse team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers 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 accelerate Databricks' growth in the market.
What it asks for · 11
- 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
- 5+ 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, architecture 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 growth 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 important internal cross-functional teams
- Experience working cross-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
What the job covers
- You will hire, train, and grow a 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 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 ahead of the technical curve by ensuring they maintain advanced knowledge of the Databricks technology stack
- You will ensure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs
Tools and skills named
Data
- Databricks5×
- Data warehouse2×
Ways of working
- Mentorship2×
- Cross-functional
Go to market
- Customer success
- Partnerships
Models & research
- Machine learning
Product & design
- Product management
Words the posting leans on
- technical9×
- data8×
- customers6×
- field engineering5×
- experience4×
- sales4×
- solutions4×
- success4×
- lead3×
- maintain3×
- product3×
- successful3×
- accelerate2×
- architecture2×
- big2×
- business2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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