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Solutions Architect

icon building Company : Databricks
icon briefcase Job Type : Full Time

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Job Description - 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


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