About this role
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 an