Sr. Delivery Solutions Architect

CSQ127R146

This role can be based in 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 organization, 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. DSA's core responsibilities are:

• Designing secure, scalable architectures
• 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 expectation is that you will become the post-sales technical lead and trusted advisor for all Databricks offerings, focusing on the customer's top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, 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 other focused/specialized teams within Databricks, and creating and driving onboarding plans. 

As a Senior Delivery Solutions Architect, you'll also be expected to:

• Manages high-complexity customer use cases and 
• Play an active role in hiring and mentoring
• Own the Use Case technical execution strategy post-sales
• Drives consumption growth by influencing architecture and unblocking delivery, coordinating with Partners/Professional Services, and partnering with AE/SA
• Provides structured feedback to Product Engineering
• Builds reusable frameworks or assets
• Maintains internal relationships at a Director level

While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing, or Data Science/AI are essential.

You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices, and Enablement
• 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 internal point of contact for any questions related to production/go live status of agreed-upon use cases within an account, often for multiple use cases within the largest and most complex organizations
• Leverage Shared Services, User Enablement and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise
• Create  and execute a point-of-view as to how key use cases can be accelerated into production
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs, presenting them to the customers when applicable for their ongoing developments
• Internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership

What we look for:

• Programming experience in PySpark, SQL or Scala 
• Understanding and hands-on experience of solution architecture-related distributed data and analytics systems
• 10+ years of experience where you have been accountable for the delivery of projects in  Data, Analytics or AI and where you can contribute to technical debate and design choices with customers
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program coordination including account and stakeholder management
• Experience resolving complex and important escalation with senior customer technical stakeholders
• 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%