At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Snowflake Services Delivery is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimise, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures and guiding customers through decision paths to achieve impactful outcomes and thoughtfully use AI to augment their business. We advise everyone from developers through senior executives on how best to utilise Snowflake for their data and AI tool suite to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of data and AI.

AS A SNOWFLAKE SOLUTIONS ARCHITECT YOU WILL

Customer Engagement & Advisory

Directly engage with customers individually or as part of a technical delivery team as a trusted advisor for thought leadership and solution approaches

Extract business requirements from customers and translate them into a well-architected recommendation

Develop and provide forward-looking guidance and future-state roadmaps

Leverage known best practices and solutions to reduce risk to customer implementations

Collaborate with Snowflake “Go to Market” teams and product teams to ensure customer alignment to Snowflake goals

Technical Leadership & Architecture

Oversee and advise on the implementation of the customer’s Snowflake platform

Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations

AI/ML Solutions & ML Ops

Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform, ensuring scalability and performance

Provide customers with standard practices and advice related to AI/ML workloads in Snowflake

Define and advise on MLOps (Machine Learning Operations) standard practices for model deployment, monitoring, and governance within the customer’s Snowflake environment

Product Adoption

Drive the adoption of Snowflake’s AI product suite (e.g., Cortex, Streamlit in Snowflake, Snowflake Intelligence) within customer solutions

Experience replatforming AI/ML workloads to Snowflake in line with business and operational requirements

Coach and guide customers on how to best leverage Snowflake’s AI product suite to unlock new business value

THE IDEAL CANDIDATE FOR A SOLUTIONS ARCHITECT WILL HAVE

BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience

3 years of technical consulting experience

Experience in a lead role for analytics projects for large enterprises

Experience implementing and operating Snowflake centric solutions

Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools

Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring

Familiarity with AI/ML and Transformation technologies

Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale

Proven experience with developing generative AI and LLM use cases

Familiarity with industry common BI and ETL solutions

Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions