Solutions Architect

The role

Solutions Architects engage with customers as trusted advisors to provide technical leadership and solution approaches. They design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform.

What you will do

• Engage with customers as a trusted advisor for thought leadership and solution approaches
• Extract business requirements and translate them into well-architected recommendations
• Develop and provide forward-looking guidance and future-state roadmaps
• Collaborate with Go to Market and product teams to ensure customer alignment
• Oversee and advise on the implementation of the customer's Snowflake platform
• Design, prototype, and implement end-to-end AI/ML solutions on the Snowflake platform
• Define and advise on MLOps standard practices for model deployment, monitoring, and governance
• Drive the adoption of Snowflake's AI product suite within customer solutions
• Coach and guide customers on how to best leverage Snowflake's AI product suite
• Experience replatforming AI/ML workloads to Snowflake

Required qualifications

• 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
• 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
• Extensive knowledge of and experience with large-scale database technology

Nice to have

• 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)

About the company

Snowflake Services Delivery is the implementation and strategy experts for the Snowflake platform. They engage with customers to optimise, accelerate, and achieve business outcomes.