Delivery Solutions Architect

Atlanta · Colorado · Texas · California · USD 180,000-247,500 / year · 5+ years experience · Posted Oct 6, 2026

At a glance

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.

As a Delivery Solutions Architect (DSA) at Databricks, you will play an important role in accelerating the adoption and growth of the Databricks Data Intelligence Platform among complex customers.
This is a hybrid technical and commercial role where you will drive post-sale technical account strategy, build executive relationships, and act as the post-sale technical lead across all Databricks products.

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 strategic accounts
Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, driving onboarding, enablement, success, go-live, and healthy consumption
Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account
Leverage Shared Services, User Education, Onboarding/Technical Services and Support resources, and escalate to expert-level technical experts when tasks are beyond scope
Create, own and execute a point-of-view on 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 covering move to production, enablement/user growth, product adoption, organic needs for current investment, and executive/operational governance
Provide internal and external updates including KPI reporting on the status of usage and customer health to your Technical GM

5+ 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 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 resolving complex and important escalation 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

Eligible for annual performance bonus, equity, and comprehensive benefits and perks