Databricks
Technology
DeliverySolutionsArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Delivery Solutions Architect at Databricks. Skills: Data Intelligence Platform, Data Architecture, AI solutions. Advise customers on data, analytics, and AI challenges. Translate challenges into business value”
What You'll Achieve.
Translate challenges into business value; Accelerate adoption and growth; Drive growth in assigned customers; Accelerate use cases into production
Industry & Context.
Resolve escalations; Troubleshoot blockers
Travel up to 30%
What They're Looking For.
Must Have
5+ years experience in Data, Analytics or AI, Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
Nice to Have
Experience in customer-facing pre-sales, technical architecture, customer success, or consulting roles
What You'll Do.
Advise customers on data
Translate challenges into business value
Design data and AI solutions
Implement data and AI solutions
Scale data and AI solutions
Collaborate with sales teams
Collaborate with field engineering teams
Accelerate adoption of Databricks Platform
Design secure architecture
Design scalable architecture
Establish trusted advisor relationships
Leverage Databricks experts
Act as post-sales technical lead
Engage technical stakeholders
Engage technical leadership stakeholders
Conduct architecture reviews
Assist with performance optimisation
Assist with cost optimisation
Demonstrate new capabilities
Remove technical blockers
Drive growth in assigned customers
Drive growth in assigned use cases
Lead customer stakeholders
Build executive relationships
Orchestrate specialised teams
Create onboarding plans
Drive onboarding plans
Work with customer technical teams
Address technical challenges
Address technical blockers
Provide best practices
Lead post-technical win strategy
Lead post-technical win execution plan
Act as internal point of contact
Report on usage status
Report on customer health
Report on product adoption
Report on use case progression
Leverage Shared Services resources
Leverage User Education resources
Leverage Onboarding/Technical Services resources
Leverage Support resources
Escalate to expert-level technical teams
Create point-of-view for use case acceleration
Coordinate with Professional Services resources
Navigate Databricks Product teams
Navigate Databricks Engineering teams
Present new product innovations to customers
Present private previews to customers
Present upgrade needs to customers
How You'll Work.
Team & Collaboration
Sales teams; Field engineering teams; Customer technical teams; Databricks experts; Specialised teams; Professional Services resources; Databricks Product teams; Databricks Engineering teams
Communication Scope
Technical communication
Process & Methodology
Account management, Stakeholder management
Full Job Description
CSQ427R105 This role can be based in either Berlin, Munich, or remotely in Germany. At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organisation, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on: Designing secure, scalable architecture Aligning people, processes, and technology Establishing trusted advisor relationships Leveraging the broader ecosystem of Databricks experts This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organisations, do architecture reviews, help with performance and cost optimisations, demonstrate new capabilities, remove blockers, etc. In parallel, 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 oth
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