Sr. Manager, Field Engineering - Public Sector (Intel, Navy, Air Force)

Databricks · Maryland; Virginia; Washington, D.C. · Field Engineering - FE Direct Enterprise · listed March 24, 2026

The shape of it

Seniority
Manager
Experience asked
5+ years
Where
Not stated
Stated pay
$192,100 – $264,175 USD
Requirements listed
11
Length
784 words

In the posting’s own words

We are seeking a Sr. Manager, Solutions Architects (SAs) to lead our Intelligence Community (IC), Navy, Air Force and Space Force team. You will lead and promote a dynamic 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 become wildly successful. You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth.

What it asks for · 11

  • Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
  • 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).
  • Alternatively, 5+ years of experience in mission-focused space impacting the IC or DoW from a technology perspective
  • 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.
  • Strategic mindset focused on driving customer outcomes in an accelerated fashion
  • Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
  • Create a positive morale for the team and help foster a working relationship 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.
  • Technical and business skills to earn the trust of Engineering talent and leadership at Databricks.
  • Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

What the job covers

  • Alongside the Sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for our IC and DoW customers
  • You will hire, train, lead and grow the Solutions Architect team for a company in high-growth mode.
  • Help your customers achieve exceptional success with Databricks and deliver substantial 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.
  • Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure 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
  • Databricks3×
  • Data warehouse2×
Go to market
  • Customer success
  • Solutions architecture
Models & research
  • Machine learning
Product & design
  • Product management
Ways of working
  • Cross-functional

Words the posting leans on

  • technical9×
  • customers8×
  • data7×
  • sales7×
  • engineering6×
  • experience5×
  • lead4×
  • solutions4×
  • field engineering3×
  • product3×
  • space3×
  • successful3×
  • accelerate2×
  • architect2×
  • architecture2×
  • big2×

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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How this page was made

An automated read of a public job posting, fetched August 26, 2026 and last changed by Databricks on August 18, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.