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Snowflake

Solution Engineer

Snowflake

. Drive customer success and close large deals by solving complex technical challenges .

Posted 11/3/2026full-timeRemote • United StatesMid-LevelSenior💰 $138,000 - $181,125 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in database and data warehouse technology, SQL analytics, and Python programming, while effectively presenting technical solutions to diverse audiences. Collaborates with cross-functional teams to drive customer success and support enterprise Proofs of Concept.

Highest-signal resume keywords
Database TechnologySQL AnalyticsPython ProgrammingPresentation SkillsAI/ML Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Database TechnologySQLSQL AnalyticsPython ProgrammingAI/ML Principles
Soft Skills
Presentation SkillsCollaboration
Tools & Technologies
Snowflake Technology
Industry Keywords
Customer SuccessSales CycleProofs of ConceptTechnical ChallengesCompetitive Technologies

Tech Stack

Tools & technologies
PythonSnowflakeSQL

About the role

Key responsibilities & impact
  • Drive customer success and close large deals by solving complex technical challenges
  • Work directly with sales teams and channel partners
  • Understand customer needs and provide compelling demonstrations
  • Present Snowflake technology and vision to executives and technical contributors
  • Work hands-on with prospects to demonstrate value throughout the sales cycle
  • Maintain deep understanding of competitive and complementary technologies
  • Collaborate with Product Management, Engineering, and Marketing teams
  • Support enterprise Proofs of Concept from design through implementation

Requirements

What you’ll need
  • Must be based in Delaware, Maryland, or Virginia
  • Outstanding presentation skills for technical and executive audiences
  • Extensive experience with database and data warehouse technology
  • Hands-on expertise with SQL and SQL analytics
  • Python programming experience
  • Understanding of AI/ML principles and best practices
  • Degree in computer science, engineering, mathematics, or equivalent experience
  • Must be currently authorized to work in the country to which applying
  • May require company sponsorship to maintain or extend work authorization

Benefits

Comp & perks
  • Variable compensation
  • Equity
  • 401(k)
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Flexible PTO
  • Professional development budget