KeyStep

Sr. Manager, Field Engineering - Public Sector

Databricks
Maryland; Virginia; Washington, D.C.
2 days ago
full-time

Skills & Technologies

Data EngineeringMachine LearningData ScienceDatabricksGenerative AIStrategySalesTechnical SalesMakeAI

Job Description

FEQ127R74

While candidates in other locations are encouraged for this role, we are primarily targeting candidates local to the Washington DC, Maryland, Virginia areas.

Mission

We are seeking a Senior Manager, Solutions Architects (SAs) to lead our Federal System Integrators and Defense Industrial Base (FSI/DIB) 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.

The Impact You Will Have

Alongside the sales Director, you will set the vision and strategy for how this team will accelerate transformative outcomes for the FSIs and DIBs 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

What We Look For

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

Company & Role Analysis

JobSeeker+
Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
Culture & working style

Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.

Market salary range

£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)

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