Note: The job is a remote job and is open to candidates in USA. Snowflake provides a cloud data platform designed to make modern data warehousing and data technologies accessible and effective. The Senior Solution Engineer, Manufacturing will solve complex customer problems, support sales cycles, deliver value-based demonstrations, lead enterprise proofs of concept, and help close business while advising customers on data, cloud, machine learning, and generative AI solutions.
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
- • Possesses a proactive curiosity for the AI landscape, striving to be a visionary and technical thought partner for customers navigating the space
- • A proven ability to leverage AI code generation tools to accelerate productivity and efficiency
- • Expect approximately 30% travel
- • University degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
- • Masters in DataScience or Business Administration is a plus
- • Experience with GSIs (EY, Deloitte, Accenture, etc), would be beneficial, but not required
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