hirly

Databricks

Delivery Solutions Architect

Stockholm, Sweden

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Databricks first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Engineering
Seniority
Mid level
Country
SE
Work mode
Remote-friendly
First seen by hirly
6 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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

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 both Shared Services, User Education, Onboarding/Technical Services 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, 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 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, 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 where you have been accountable for 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%

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.

Original posting on Databricks's site ↗

Listed on hirly, a job board. hirly is not the employer: Databricks is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job