Note: The job is a remote job and is open to candidates in USA. Snowflake is a rapidly growing company focused on redefining the future of data warehousing. They are seeking a Senior Solution Engineer who will work closely with the sales team and channel partners to solve complex customer problems, provide value-based demonstrations, and support enterprise Proof of Concepts to ultimately close business.
Responsibilities
- Present Snowflake technology and vision to executives and technical contributors at prospects and customers
- 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
- Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
Skills
- 7-8 years of industry experience with a minimum of 5 years within a pre-sales environment
- Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
- 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
- Hands-on expertise with SQL, SQL analytics, and Python
- Ability to connect a customer's specific business problems and Snowflake's solutions
- Ability to do deep discovery of customer's architecture framework and connect those with Snowflake Data Architecture
- University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
- Masters in Data Science or Business Administration is a plus
- Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
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