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 replatformi