Delivery Solutions Architect
Post-sales technical advisor role at Databricks, embedded with strategic customers across Sweden, Denmark and Finland (hybrid/remote). Guides architecture, delivery and enablement of data and AI solutions on the Databricks platform, partnering with sales and field engineering. Requires PySpark/Python and 5+ years of data/analytics/AI delivery experience.
- Compensation
- Not disclosed
- Location
- Stockholm, Sweden
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Architecture
- Posted
Skills
Must have
- 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 accountable for delivery of projects in Data, Analytics or AI
- 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 overachievement against quota, goals or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
- Able to travel up to 30%
Full description
CSQ427R259
Locations - Sweden, Denmark, Finland (Hybrid/Remote)
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. 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 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.
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.
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