Senior Data Architect Role at Databricks - AI & Cloud in Columbus
Career & Market Insight
This is a senior, high-impact individual contributor role at one of the most prominent data/AI companies in the world. Databricks is a late-stage unicorn (valued at $62B+ in its last funding round), giving this role the credibility of a near-public-company brand on your CV while still operating with startup energy.
Compensation context: No salary is published, but Databricks DSA roles in EMEA typically range from €90,000–€140,000 base plus meaningful equity and bonus. This is above Nordic market averages for technical account/architect roles, which typically sit at €70,000–€100,000.
Skills this role develops:
- Enterprise data architecture (Lakehouse, Delta Lake, Unity Catalog) — highly marketable in 2025+
- Executive stakeholder management and technical sales — rare hybrid skill set
- AI/ML platform implementation at scale — among the fastest-growing demand areas
- PySpark and distributed systems expertise
Green flags: Clear career path within Field Engineering, exposure to Fortune 500 clients, backing of a category-leading platform. The role bridges deep technical work with commercial outcomes — accelerating paths to Principal Architect or Sales Engineering management.
Watch-outs: The 30% travel requirement and dual technical/commercial accountability create a demanding workload. KPI reporting and quota pressure signals a results-driven culture. This suits high performers but may challenge those seeking pure technical depth without commercial metrics.
Overall, an excellent career accelerator for senior data architects wanting enterprise-scale impact at a marquee tech company.
Headquarters: Finland; Remote - Denmark; Stockholm, Sweden
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. 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 and technical leadership stakeholders in customer organizations, conduct architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, and more.
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 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 on use cases/data products, from development to go-live, addressing technical challenges 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 to address 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 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 with solution architecture-related distributed data and analytics systems
- 5+ years of experience with accountability for delivery of projects in Data, Analytics, or AI, with 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 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
- 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. To learn more, 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.
To apply: https://weworkremotely.com/remote-jobs/databricks-delivery-solutions-architect
Frequently Asked Questions
Is this Databricks DSA role fully remote or does it require office presence?
What technical skills are required for the Delivery Solutions Architect position?
Do I need to be based in Sweden, Denmark, or Finland to apply?
Is there a salary range published for this role?
What does the career path look like for a Databricks DSA?
