About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks tha…
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 scie
Neutral 2–4 sentence summary of what working at this company is like, drawn from public reviews and press coverage. Tone, collaboration style, pace, benefits highlights.
£45,000 – £60,000 (Glassdoor, Levels.fyi, 2025)
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