Solutions Engineer

• Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload.
• Provide customers with best practices and advise as it relates to Data Science workloads on Snowflake.
• Build, deploy and ML pipelines using Snowflake features and/or Snowflake ecosystem partner tools based on customer requirements.
• Work hands-on where needed using SQL, Python, to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the Data Science workload.
• Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own.
• Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them.
• Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments.
• Provide guidance on how to resolve customer-specific technical challenges.
• Support other members of the Professional Services team develop their expertise.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Solutions Architect, AI/ML

Software Solution Architect, Azure Architect

Senior Solutions Engineer

Senior Solutions Architect

Product Solutions Manager

Consulting Solution Architect – Managed Services