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Snowflake

Senior Solution Engineer, Retail & Consumer Goods

Snowflake

Senior Solution Engineer at Snowflake leveraging AI to solve complex problems in retail and consumer goods. Collaborating with sales team and partners to close significant deals.

Posted 6/9/2026full-timeRemote • California • 🇺🇸 United StatesSenior💰 $165,000 - $216,562 per yearWebsite

Tech Stack

Tools & technologies
CloudETLPythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 7+ 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.
  • 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
  • Expect approximately 30% travel

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
SQLSQL analyticsPythonmachine learninggenerative AIcloud technologiesDatabase technologyData Warehouse technologyETLanalytics
Soft Skills
presenting skillscommunicationcollaborationproblem-solvingcustomer discovery
Certifications
University degree in computer scienceUniversity degree in engineeringUniversity degree in mathematicsMasters in Data ScienceMasters in Business Administration