--- title: 'Solutions Architect at Databricks' canonical: 'https://feeny.ai/job/solutions-architect-databricks-stockholm-qw74t1pkv6bj' type: 'job' last_seen: '2026-09-05' --- # Solutions Architect at Databricks - **Company:** Databricks - **Location:** Stockholm, Sweden - **Posted:** 2026-06-18 - **Last confirmed live:** 2026-09-05 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8531153002 ## Job description ## REQ# FEQ427R66 Solutions Architect – Data & AI (Presales) At Databricks, our Solutions Architects combine customer engagement with hands-on technical expertise. You will work closely with customers to understand their challenges and demonstrate how the Databricks platform can solve them – not just conceptually, but in practice. This role sits within our sales organization and is ideal for someone who enjoys working at the intersection of business, data, and AI — and who is motivated by turning ideas into working solutions. ## What you’ll do - Partner with Account Executives to drive technical sales cycles and customer outcomes - Lead customer workshops, discovery sessions, and technical deep-dives across multiple stakeholders - Build and deliver proof-of-concepts, demos, and solution prototypes using real data - Translate business requirements into practical, scalable data and AI solutions - Act as a trusted advisor, while also being able to go hands-on to validate solutions end-to-end - Work through technical challenges with customers, iterating and resolving issues as they arise - Contribute reusable assets, patterns, and best practices that accelerate adoption across customers ## What we’re looking for Customer-facing mindset - Experience working with customers in a presales, consulting, or advisory capacity - Ability to communicate complex topics to both technical and non-technical audiences - Comfortable leading discussions that connect business goals to technical decisions Hands-on technical foundation - Experience with Python (or similar) and familiarity with distributed data processing and compute and working with large-scale datasets - Understanding of data pipelines and modern data architectures - Ability to work practically with data (e.g. building PoCs, exploring datasets, troubleshooting) - Comfortable reasoning through code, explaining how it works, and adapting it when things don’t behave as expected Data & AI understanding - Familiarity with analytics, data science, or machine learning workflows - Understanding of how data platforms support AI use cases (e.g. feature pipelines, model training, inference) - Interest in modern AI capabilities, combined with an understanding of how they operate on real data systems Architecture & platform understanding - Familiarity with cloud platforms and data technologies - Ability to design solutions that consider scalability, performance, reliability, and data volumes - Awareness of trade-offs in architecture decisions and ability to adapt designs based on constraints What makes you successful in this role - You are comfortable switching between business dialogue and technical execution - You don’t just describe solutions — you can build, validate, and iterate on them in practice - You take ownership of technical challenges and push problems forward, even when things are not working as expected - You apply structured thinking in discovery and can connect requirements to scalable technical solutions - You understand that AI solutions depend on solid data foundations - You are curious and continuously deepen your technical expertise ## 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). ## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). 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. ## About Databricks ## Company Overview - **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale. - **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed) - **Headquarters**: San Francisco, California, USA - **Founded**: 2013 - **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others) ## Core Business - Primary industry: Data & AI Platform / Enterprise Software - Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500 - Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us) ## Products & Services - **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog. - **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era. - **Genie**: AI-powered natural language assistant for data insights and querying. - **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data. - **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure) - **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/) - **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms. - **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks) ## Competitive Advantages - **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in. - **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community. - **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises. - **Strong data governance**: Unity Catalog provides centralized access control and lineage. - **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data. ## Strategic Focus - Expanding AI capabilities with natural language interfaces and autonomous agents. - Deepening integrations with cloud providers and open-source ecosystems. - Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC). - Cultivating a developer and data science community through university programs and open-source contributions. ## Why Work Here - **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers) - **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally. - **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events. - **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more. ## Sources 1. [Databricks About Us](https://www.databricks.com/company/about-us) 2. [Databricks Careers](https://www.databricks.com/company/careers) 3. [Databricks Homepage](https://www.databricks.com/) 4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks) ## Other roles at Databricks - [Sr. Manager, Field Engineering - Healthcare and Life Sciences (Healthcare Providers)](https://feeny.ai/job/sr-manager-field-engineering-healthcare-and-life-sciences-healthcare-providers-yr4vq9ck4mjs) — United States - [Strategic Enterprise Account Executive, State and Local](https://feeny.ai/job/strategic-enterprise-account-executive-state-and-local-databricks-new-york-9nxnagrrk57h) — New York, NY - [Sr. Recruiter, GTM & Field Engineering](https://feeny.ai/job/sr-recruiter-gtm-field-engineering-databricks-london-kcp6d3mm21sh) — London, United Kingdom - [Recruiter, GTM & Field Engineering](https://feeny.ai/job/recruiter-gtm-field-engineering-databricks-london-9yb20xg2j6v3) — London, United Kingdom - [Executive Assistant, R&D](https://feeny.ai/job/executive-assistant-r-d-databricks-belgrade-cyhdd10ajyr8) — Belgrade, Serbia - [Staff Forward Deployed Engineer](https://feeny.ai/job/staff-forward-deployed-engineer-databricks-berlin-cmntcda7q98y) — Berlin, Germany / Munich, Germany - [Strategic Enterprise Account Executive - Financial Services](https://feeny.ai/job/strategic-enterprise-account-executive-financial-services-databricks-new-york-fqfj6fn9869c) — New York City, NY - [Enterprise Geo Hunter Account Executive - Financial Services](https://feeny.ai/job/enterprise-geo-hunter-account-executive-financial-services-databricks-northeast-0bbs8dp2bafw) — Northeast, United States - [Solutions Architect (Genie)](https://feeny.ai/job/solutions-architect-genie-databricks-bengaluru-czws9caf45ay) — Bengaluru, India / Delhi, India / Mumbai, India - [Sr. Solutions Architect (CustomerLake)](https://feeny.ai/job/sr-solutions-architect-customerlake-databricks-tokyo-2b6w41hnhdwp) — Tokyo, Japan