Solutions Architect

REQ# FEQ227R44

Solutions Architect – Data & AI (Presales) 

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.

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