Delivery Solutions Architect

Locations: Sweden, Denmark, Finland (Hybrid/Remote)

Delivery Solutions Architect (DSA) Overview

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.

Key Focus Areas

• 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, you will become the post‑sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. You will use your technical skills and credibility to engage and communicate with technical leadership stakeholders in customer organizations, conduct architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, and remove blockers. In parallel, it is commercial: you will drive growth in your assigned customers and use cases through leading customers’ stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.

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

Impact You Will Have

• Act as the Databricks Architect working with customer technical teams 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
• Serve as 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 Education, Onboarding/Technical Services and Support resources, along with escalating to expert‑level technical teams to address tasks beyond your scope or expertise
• Create and execute a point‑of‑view as to 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, presenting them to customers when applicable for their ongoing developments
• Provide internal and external updates — KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression — to Field Engineering leadership

Qualifications and Experience

• Programming experience in PySpark, Python, and Databricks (or similar data platform)
• Understanding and hands‑on experience of solution‑architecture–related distributed data and analytics systems
• 5 + years of experience delivering projects in Data, Analytics or AI, and contributing to technical debate and design choices with customers
• Experience in a customer‑facing pre‑sales, technical architecture, customer success or consulting role
• 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 escalations with senior customer technical stakeholders
• Track record of over‑achievement 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 %

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.