Delivery Solutions Architect – Public Sector

Databricks

Delivery Solutions Architect for Databricks supporting Public Sector clients with technical project delivery. Collaborating with sales and field engineering teams to drive customer success and product adoption.

Posted 5/6/2026full-timeWashington D.C. • Washington • 🇺🇸 United StatesSeniorLead💰 $180,000 - $247,500 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonScalaSQL

About the role

Key responsibilities & impact

Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production, Enablement/user growth plan, Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision), Organic needs for current investment (e.g. cloud cost control, tuning & optimization), Executive and operational governance
Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

Requirements

What you’ll need

U.S. Citizenship (required due to Public Sector client support)
7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
Programming experience in Python, SQL or Scala
Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
Understanding of solution architecture related to distributed data systems
Understanding of how to attribute business value and outcomes to specific project deliverables
Technical program or project management, including account, stakeholder and resource management accountability
Experience in resolving complex and important escalations with senior customer executives
Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
Track record of overachievement against quota, Goals or similar objective targets
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
Can travel up to 30% when needed.

Benefits

Comp & perks

Databricks is committed to fair and equitable compensation practices.
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.
Total compensation package for this position may include eligibility for annual performance bonus, equity, and the benefits listed above.

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Hard Skills & Tools

PythonSQLScalasolution architecturetechnical program managementproject managementbusiness analysisKPI reportingcloud cost controltuning & optimization

Soft Skills

customer successstakeholder managementcommunicationproblem-solvingleadershipstrategic thinkingcollaborationaccountabilitynegotiationadaptability