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Manager, Delivery Solutions Architects – Public Sector

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22 Oct 2026Apply before
Opportunity details

About this role.

AI Summary

Databricks is seeking a manager to build and lead a Delivery Solutions Architect team supporting public-sector customers. The role owns post-sales technical execution, helping customers deploy Data and AI use cases into production and grow platform usage. It combines people leadership, customer-facing technical strategy, account prioritization, cross-functional coordination, and operational planning. Candidates need substantial experience delivering SaaS data, analytics, AI, or machine-learning workloads and advising senior technical stakeholders. U.S. citizenship is mandatory because the work involves federal contract and classified-information access requirements.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior leadership role requiring both deep technical credibility in modern data and AI platforms and proven ability to hire, coach, and scale a customer-facing delivery organization. The manager must balance escalations, customer outcomes, growth forecasting, stakeholder alignment, and public-sector delivery constraints in a high-growth environment.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive
$296,400
US market range$220k–$350k
AI insightThe disclosed annual USD pay range is $249,600 to $343,200, with a midpoint of $296,400. This is a senior public-sector technical post-sales management role in the U.S. market; a comparable market range is estimated at $220,000 to $350,000 annually, depending on location, leadership scope, enterprise SaaS experience, and whether variable compensation is included.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How have you led a technical post-sales team to improve customer adoption and production deployment outcomes?

I establish clear outcome metrics such as time to production, adoption milestones, usage growth, renewal health, and customer satisfaction. I then align account coverage and technical plans to those measures, coach team members through regular deal and delivery reviews, and remove cross-functional blockers quickly.

Describe your approach to advising a public-sector executive on a complex data or AI modernization program.

I begin by understanding the mission, governance requirements, security constraints, and measurable business outcomes. I translate those priorities into a phased architecture and delivery plan, identify risks and dependencies early, and create an executive communication cadence that clearly shows progress, decisions, and expected value.

How would you prioritize limited DSA capacity across a portfolio of strategic accounts?

I use a transparent prioritization model that weighs customer potential, deployment readiness, strategic importance, risk, technical complexity, and expected usage impact. I review the model with sales and services leadership regularly, rebalance assignments when conditions change, and protect capacity for critical escalations.

What methods do you use to keep a solutions architecture team technically current?

I set development expectations around platform certifications, hands-on labs, internal knowledge sharing, and participation in architecture reviews. I also connect learning goals to active customer scenarios so the team can immediately apply new capabilities to production designs and delivery challenges.

Tell us about a time you resolved an escalation involving sales, services, and a customer technical team.

I first create a shared fact base covering the customer objective, technical issue, ownership, timeline, and impact. I assign accountable owners, establish a short decision cadence, communicate directly and consistently with the customer, and conduct a retrospective afterward to prevent recurrence through process or enablement improvements.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.

CSQ427R326

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship is required to access classified information.

Build and lead a team of Delivery Solution Architects. DSA’s lead the post sales technical strategy for our Public Sector customers, with a focus on ensuring use cases go into production as quickly and smoothly as possible. This requires resource orchestration skills and a solid understanding of Databricks technology and the Data+AI ecosystem.

As a DSA Manager, you will shape and monitor the post-sales execution strategy for the customers in your region, in close collaboration with our sales, pre-sales, and professional services teams as well as partners. You will be responsible for the DSA Public Sector team and you will report to the Sr. Manager, DSA in the region.

You will make investment decisions in collaboration with the sales and pre-sales managers for your region. You will help shape and adjust the value proposition of the DSA role for your region and promote it in front of sales teams and customers.

You will serve as a technical sponsor and thought leader to a select number of customers. You will hire and coach your team (of Delivery Solution Architects) to prioritize and work with different customer stakeholders up to C-level executives, with the goal of driving usage growth by getting use cases into production faster.

You and your team will contribute to the creation of assets to build the Delivery Solution Architecture practice and improve effectiveness and consistency in working with customers.

The Impact you will have:

  • Manage a diverse team of Delivery Solution Architects to achieve customer, company, and team goals (usage growth, career growth and hiring)
  • Hire, coach, and grow a team of Delivery Solutions Architects for a company in high-growth mode
  • Keep your team of DSA’s ahead of the technical curve. A DSA adds value by maintaining advanced knowledge of the technology stack, and advising customers on the best use of it in their architecture. You will make sure that your team is continuously learning and staying in line with the other field functions while consistently exceeding their certification goals
  • Assign accounts and distribute work across individuals for optimal customer coverage and team balance
  • Inspire the team to be customer-obsessed by understanding customer goals, their use cases, and Databricks technology
  • Build relationships and partner with Sales, pre-sales and professional services teams to accelerate the growth of customers
  • Work with cross-functional teams to reduce customer risk and help your team with escalations and address any issues or blockers
  • Lead team activities to monitor customer progress and forecast growth
  • Provide input to grow and improve internal processes, drive operational rigor and lead programs that drive impact across the organization
  • Maintain a robust hiring pipeline at all times

What we look for:

  • U.S. Citizenship (required due to Public Sector client support)
  • 7+ years of successful experience in a customer-facing role
  • Proven delivery experience in SaaS Technologies, particularly in the areas of Data Analytics, Data Warehousing, Data Engineering, ETL, Machine Learning, AI or Data Science
  • Experience building and leading technical post-sales teams – hiring, on-boarding, and enabling post-sales professionals
  • Trusted advisor to technical executives that guide strategic data project delivery decisions
  • Lead a team through best practices for architecture discussions, use case Go-Lives, creating project and execution plans and customer growth strategy
  • Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal partners
  • Experience in delivery and deployment of workloads or data products into production, e.g. in a delivery architect, project manager, devops, or service/product owner role
  • Conversant with business issues our customers face today and likely big data use cases in different industries
  • Travel up to 30% around the D.C. Metro area

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this 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, Databricks 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 information regarding which range your location is in visit our page here.

Local Pay Range

$249,600—$343,200 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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