Databricks

Technology

DeliverySolutionsArchitect

€115–155k ~AI est. Berlin, Germany; Munich, Germany; Germany Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Technology
Problems you'll solve

Resolve escalations; Troubleshoot blockers

Eligibility Requirements

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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