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Snowflake

Principal Solution Engineer

Snowflake

Principal Solution Engineer at Snowflake solving complex customer problems and collaborating with sales teams. Presenting technology and demonstrating value to prospects while enhancing products and marketing strategies.

Posted 6/10/2026full-timeRemote • New Jersey, Texas • 🇺🇸 United StatesLead💰 $189,000 - $248,062 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
  • 8-12 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
  • Expect to be onsite with customers about 30% of the time

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Professional development opportunities
  • Bonuses

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
SQLSQL analyticsPythonmachine learninggenerative AIETLanalyticsData LakeData MeshData Fabric
Soft Skills
presenting skillscommunicationcollaborationproblem-solvingcustomer discovery
Certifications
University degree in computer scienceUniversity degree in engineeringUniversity degree in mathematicsMasters in Data ScienceMasters in Business Administration