Senior Solution Engineer, HCLS

Snowflake

Senior Solution Engineer at Snowflake enhancing AI-native solutions for customers and collaborating with sales teams to close deals. Focused on redefining database solutions in a fast-paced environment.

Posted 7/20/2026full-timeRemote • California, Illinois • 🇺🇸 United StatesSenior💰 $165,000 - $216,562 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 and a strong understanding of cloud-based machine learning and data solutions. Capable of connecting customer business challenges with Snowflake's offerings while collaborating effectively with cross-functional teams.

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 AIETLData AnalyticsDatabase TechnologyCloud TechnologiesData ArchitecturePresentation Skills

Soft Skills

CollaborationCommunicationProblem-SolvingInterpersonal SkillsPresentation Skills

Tools & Technologies

SnowflakeCloud PlatformsData Warehousing ToolsAnalytics ToolsETL Tools

Certifications & Qualifications

University Degree in Computer ScienceMasters in Data ScienceMasters in Business Administration

Industry Keywords

Pre-SalesGSI ExperienceCompetitive TechnologiesComplementary TechnologiesSales Cycle

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
Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors
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
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

Benefits

Comp & perks

Health insurance
401(k)
Paid time off
Flexible working arrangements
Professional development opportunities
Company culture valuing diversity and belonging