Principal Solution Engineer

Snowflake

Principal Solution Engineer at Snowflake driving sales through technical solutions and customer engagement. Collaborating with teams to present and implement innovative database technologies.

Posted 7/29/2026full-timeMenlo Park • California, Washington • 🇺🇸 United StatesLead💰 $252,000 - $330,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in presenting Snowflake technology to diverse audiences, leveraging extensive experience in pre-sales environments. Proficient in building and deploying machine learning and generative AI solutions, with a strong foundation in database technologies and cloud analytics.

Highest-signal resume keywords

Pre-Sales ExperienceMachine Learning SolutionsSQL AnalyticsData Warehouse TechnologyCustomer Discovery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonMachine LearningGenerative AIData LakeData MeshData FabricETLAnalyticsCloud Technologies

Soft Skills

Outstanding Presenting SkillsCommunicationCollaboration

Tools & Technologies

SnowflakeData Architecture

Certifications & Qualifications

University Degree in Computer ScienceMasters in Data ScienceMasters in Business Administration

Industry Keywords

Database TechnologyData WarehouseCloud SolutionsCompetitive TechnologiesGSI Experience

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 DataScience 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

Snowflake offers competitive base salary, variable compensation, equity, and comprehensive benefits including 401(k), health/dental/vision, flexible PTO, and professional development budget.