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Snowflake is seeking a Senior Solution Engineer to drive complex enterprise deals in the Retail & Consumer Goods vertical. This role bridges sales and technical delivery, requiring deep expertise in cloud data platforms, analytics, and AI/ML solutions.
You will partner with the sales team and channel partners to understand customer needs, design winning strategies for large deals, deliver compelling value-based demonstrations, and support enterprise proof-of-concepts. Your responsibilities include presenting Snowflake's technology vision to C-suite and technical teams, conducting hands-on demonstrations throughout the sales cycle, maintaining competitive intelligence on database and data warehouse technologies, and collaborating with Product, Engineering, and Marketing to refine positioning and product strategy.
Required qualifications: 7-8 years of industry experience with a minimum of 5 years in pre-sales roles. You must excel at presenting to both technical and executive audiences, with 5+ years building and deploying machine learning and generative AI solutions in cloud environments. Deep expertise in large-scale database, data warehouse, ETL, and analytics technologies (Data Lake, Data Mesh, Data Fabric) is essential. Hands-on proficiency with SQL, SQL analytics, and Python required. You should be able to conduct deep discovery of customer architecture and map it 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.
