Solutions Architect

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 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

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .

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 .

Our Commitment to Diversity and Inclusion

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