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Snowflake is seeking an experienced Solution Engineer to drive complex enterprise sales cycles and demonstrate the value of its cloud data platform. In this role, you will partner closely with the sales team and channel partners to understand customer needs, deliver compelling technical demonstrations, support proof-of-concept engagements, and help close large deals.
You will present Snowflake's technology and vision to both C-suite executives and technical teams, working hands-on with prospects and customers throughout the sales cycle—from initial demo through proof of concept to design and implementation. You'll maintain deep expertise in competitive and complementary technologies, positioning Snowflake effectively in the market. Collaboration with Product Management, Engineering, and Marketing will be essential to continuously improve products and go-to-market strategies.
The ideal candidate brings 7–8 years of industry experience, with a minimum of 5 years in pre-sales or solutions engineering. You must excel at presenting to diverse audiences—both impromptu whiteboard sessions and polished demos. You'll have broad expertise in large-scale database, data warehouse, ETL, and cloud analytics technologies (Data Lake, Data Mesh, Data Fabric). Hands-on technical skills in SQL, SQL analytics, and Python are required. You should be able to conduct deep discovery of customer architectures and connect those insights to Snowflake's data architecture solutions.
A degree in computer science, engineering, mathematics, or related field is preferred; advanced degrees in data science or business administration are a plus. Experience with global systems integrators (EY, Deloitte, Accenture) is beneficial but not required. Expect approximately 30% travel. This is a hybrid role based in Ohio or Indiana.
