Solutions Architect

Please note that this role requires you to be based in Denmark.

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.

• →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

• 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

• 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

• 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

• 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

• 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

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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.

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.