Senior Solutions Architect at Databricks - Data & AI Career in Columbus
Career & Market Insight
This is a senior-level, post-sales technical role at one of the hottest companies in the data and AI space. Databricks is valued at over $40 billion and serves 70% of the Fortune 500 — making this a high-visibility position with real career capital.
Compensation: No salary is listed, but Delivery Solutions Architects at Databricks in the Nordics typically earn in the range of SEK 900k–1.3M / DKK 800k–1.1M annually (including variable), depending on experience. This is at or above market for senior solution architect roles in the region.
Skills you'll build:
- Deep expertise in Databricks, Delta Lake, Spark, and the modern data stack — highly transferable skills commanding a significant premium in the market
- Executive-level stakeholder management and commercial acumen — rare combination for a technical profile
- Data architecture and AI solution design at enterprise scale
- Cross-functional orchestration: PS, product, engineering, customer success
Green flags: Databricks is in hypergrowth with a clear path to IPO; this role sits at the intersection of technical depth and commercial impact, which accelerates progression to Principal Architect or management tracks. The embedded customer model also builds long-term strategic relationships that are career-defining.
Watch for: The dual technical-commercial accountability can create pressure — you're expected to both advise deeply and drive revenue. The 30% travel requirement may not suit everyone. This is a high-performance culture with quota expectations even for a technical role.
Ref: CSQ227R121
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.
DSAs are trusted technical advisors embedded within the customer organization. They 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 stakeholders and technical leadership in customer organizations, conduct architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, and remove blockers.
In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading customer stakeholders, building executive relationships, orchestrating 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 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 on use cases and data products, from development to go-live, addressing 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 the most strategic accounts
- Be the internal point of contact for 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 for tasks beyond your scope
- Create and execute a point-of-view on 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
- Provide internal and external updates — KPI reporting on usage and customer health, risks and blockers, product adoption, and use case progression — to Field Engineering leadership
What we look for:
- 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, with the ability to contribute to technical debate and design choices with customers
- Experience in 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 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
- Ability to travel up to 30%
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our 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.
Frequently Asked Questions
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