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Snowflake

Solution Engineer – Enterprise Acquisition

Snowflake

Snowflake Solution Engineer architecting AI and modern data solutions for enterprise customers. Partnering with Sales on demos, proof-of-concepts, and complex buying decisions.

Posted 8/15/2026full-timeNew York City • New Jersey, New York, Pennsylvania, Virginia, West Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $165,000 - $216,562 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in SQL and Python for designing scalable data and AI solutions, while effectively communicating complex technical concepts to diverse audiences. Proven ability to influence stakeholders and drive customer success in high-stakes sales environments.

Highest-signal resume keywords
SQL ProficiencyPython for AnalyticsAI/ML ConceptsExceptional Communication SkillsData Security Compliance

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonData WarehousingAI/MLGenerative AILLMs
Soft Skills
Exceptional CommunicationInfluencing StakeholdersGrowth Mindset
Tools & Technologies
AI ToolsSnowflake
Industry Keywords
Data ModernizationProofs of ConceptCustomer ConversationsHigh-Stakes Sales Cycles

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Lead customer conversations on AI strategy and data modernization
  • Design and demonstrate scalable data and AI solutions using SQL and Python
  • Support enterprise Proofs of Concept from concept to value realization
  • Translate complex technical concepts into measurable business outcomes
  • Navigate objections and competitive dynamics in high-stakes sales cycles
  • Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery
  • Partner with Sales to guide customers from raw data to real AI impact
  • Architect scalable solutions, deliver compelling demos, and influence complex buying decisions across executive and technical audiences
  • Keep customer information secure and confidential and follow Snowflake’s confidentiality and security standards

Requirements

What you’ll need
  • Must be located in the Mid-Atlantic: New Jersey, Pennsylvania, Delaware, Virginia, or West Virginia
  • Strong SQL proficiency
  • Experience with modern data warehousing
  • Experience using Python for analytics or ML workflows
  • Familiarity with AI/ML concepts, including Generative AI and LLMs
  • Exceptional communication skills across technical and executive audiences
  • Ability to influence stakeholders and maintain credibility under pressure
  • Growth mindset with a track record of learning and adapting quickly
  • Must follow Snowflake’s confidentiality and security standards and data security plan
  • Must keep customer information secure and confidential

Benefits

Comp & perks
  • Commission plan eligibility
  • Equity plan eligibility
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Life insurance
  • Disability insurance
  • 401(k) retirement plan
  • Flexible spending account
  • Health savings account
  • At least 12 paid holidays
  • Paid time off
  • Parental leave
  • Employee assistance program
  • Other company benefits