Senior Solution Engineer (Healthcare and Life Sciences)

Join Snowflake, a leading cloud data platform, as a Senior Solution Engineer in the Healthcare and Life Sciences sector. In this role, you will present Snowflake's technology and vision to executives and technical contributors, work hands-on with prospects and customers, and collaborate with various teams to improve Snowflake's products and marketing. You will enjoy comprehensive health insurance, retirement plans, mental health and wellness programs, generous time-off, and more.

• Present Snowflake technology and vision to executives and technical contributors at prospects and customers, and demonstrate the value of Snowflake technology throughout the sales cycle.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing, and maintain a deep understanding of competitive and complementary technologies.
• Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation.
• 7+ years of industry experience with a minimum of 5 years within a pre-sales environment
• Expect approximately 30% travel
• Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture
• Hands-on expertise with SQL,SQL analytics, and Python
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred. Masters in DataScience or Business Administration is a plus
• Ability to connect a customer’s specific business problems and Snowflake’s solutions
• 5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
• Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
• Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required