Solutions Architect

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

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
  
  

• 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
• Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
• Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
• Familiarity with prompt engineering techniques
  
  

• Hands-on experience or significant familiarity with building and managing AI/ML workloads
• Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer
• Experience in the services organization of a product company
• Experience in a leadership position executing technical projects
• Application Development experience
• AWS, Google or Microsoft Cloud certification(s)
• Snowflake Snowpro Advanced Certification(s)