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Databricks Delivery Solutions Architect – Public Sector Recruitment 2026: Apply Online
Delivery Solutions Architect – Public Sector
Job Overview
At Databricks, we are on a mission to empower our customers to solve the world’s toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximize the value they get from our platform and the return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers’ stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization.
- Lead post-technical win strategies and execution plans for strategic accounts.
- Act as the primary technical contact for production and go-live status of agreed-upon use cases.
- Collaborate with Product and Engineering teams to facilitate new product innovations and private previews.
- Develop comprehensive enablement and user growth plans to drive organic platform adoption.
Key Job Details
| Company Name | Databricks |
| Job Role | Delivery Solutions Architect – Public Sector |
| Experience | 7+ Years |
| Salary Range | Competitive (Based on Location & Experience) |
| Job Type | Full-Time |
| Work Mode | Hybrid |
| Openings | Multiple |
| Job Location | USA (Hybrid / Field) |
Key Responsibilities
- Engage with Solutions Architects to understand the full use case demand plan for prioritized customers.
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases.
- Be the accountable technical leader assigned to specific use cases and customers across multiple selling teams.
- Act as the first contact for technical issues or questions related to production/go-live status.
- Leverage Shared Services, User Education, and Support resources to build appropriate tasks beyond immediate scope.
- Create, own, and execute a point-of-view on how key use cases can be accelerated into production.
- Navigate Databricks Product and Engineering teams for new product innovations and upgrades.
- Provide internal and external updates, including KPI reporting on usage and customer health.
Requirements & Qualifications
- U.S. citizenship is required due to federal contract requirements and client site access obligations.
- 7+ years of experience accountable for technical project/program delivery within the Data and AI domain.
- 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.
- Experience conducting open-ended discovery workshops and creating strategic roadmaps.
- Ability to travel up to 30% when needed.
Required Skills
- Apache Spark & Distributed Systems
- Python, SQL, and Scala Programming
- Cloud Architecture (AWS, Azure, GCP)
- Technical Program Management
- Stakeholder & Executive Relationship Management
- Solution Architecture & System Design
- Business Analysis & Value Attribution
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Headquartered in San Francisco, Databricks was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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