About this role.
Databricks is hiring a Delivery Solutions Architect to serve as a post-sales technical lead and trusted advisor for strategic customer accounts. The role guides customers through the design, implementation, optimization, and production rollout of data, analytics, and AI solutions on the Databricks platform. It combines distributed-data architecture expertise with customer success, stakeholder management, account strategy, and commercial growth responsibilities. Candidates need at least five years of relevant delivery experience, strong Python/PySpark knowledge, and the ability to engage senior technical and executive stakeholders. The position is hybrid/remote for candidates in Sweden, Denmark, or Finland and includes up to 30% travel.
Role DNA
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Job Complexity
5/5Pace & Pressure
5/5Autonomy Level
5/5Communication Load
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Sample interview questions
I would first align on the business outcome, success metrics, stakeholders, and target operating model. I would assess the current architecture and delivery risks, define a phased production plan covering security, data quality, performance, cost, governance, and enablement, then maintain regular progress reviews and escalate blockers early. After launch, I would monitor adoption and operational KPIs and identify the next highest-value use cases.
I would start with workload telemetry to identify the principal cost and latency drivers, including cluster configuration, job patterns, data layout, query plans, shuffle behavior, and inefficient code. I would validate the findings with the customer team, prioritize changes by impact and effort, and test improvements against agreed performance and cost baselines. I would also document operational guardrails so the optimization is sustainable.
I prepare by understanding their business priorities, technical landscape, and current risks, then communicate recommendations in terms of both engineering trade-offs and measurable outcomes. I am transparent about assumptions, ownership, and dependencies, and I follow through consistently on commitments. This creates trust while allowing me to challenge decisions constructively when needed.
I would establish a clear incident structure with an accountable owner, technical workstream leads, a concise problem statement, and a regular communication cadence. I would separate immediate mitigation from root-cause analysis, coordinate the appropriate product, engineering, support, and services resources, and keep customer stakeholders informed with factual updates. Following resolution, I would lead a review that converts findings into preventative architecture or operational improvements.
I view growth as an outcome of delivered customer value rather than a separate sales activity. By jointly prioritizing use cases with clear business impact, achieving reliable production outcomes, and building executive alignment, I can uncover logical expansion opportunities. I would work closely with account and field teams to ensure recommendations are technically sound, appropriately timed, and tied to the customer's objectives.
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.
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.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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