Senior Solution Engineer, Telecommunications

Snowflake

Senior Solution Engineer helping Snowflake sell cloud data warehousing and AI solutions to telecommunications customers. Demonstrating technology, supporting enterprise proofs of concept, and closing complex deals.

Posted 8/12/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $189,000 - $248,062 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and deploying machine learning and generative AI solutions in cloud environments, with a strong focus on connecting customer business problems to Snowflake solutions. Possesses outstanding presentation skills for both technical and executive audiences, and maintains deep knowledge of data architecture frameworks and competitive technologies.

Highest-signal resume keywords

Machine Learning SolutionsGenerative AI SolutionsSQL AnalyticsData Lake ConceptsPre-Sales Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Warehouse TechnologyETLAnalyticsCloud TechnologiesData ArchitectureAI Code-Generation ToolsProof of Concept SupportCustomer Discovery

Soft Skills

Outstanding Presentation SkillsProactive Curiosity

Tools & Technologies

SnowflakeData MeshData Fabric

Certifications & Qualifications

University Degree in Computer ScienceEngineeringMathematics

Industry Keywords

Sales CyclesChannel PartnersCompetitive TechnologiesTechnical Thought PartnerGSI Experience

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Work directly with the sales team and channel partners to understand customer needs
Strategize on navigating winning sales cycles and closing large deals
Present Snowflake technology and vision to executives and technical contributors
Demonstrate and communicate Snowflake’s value throughout the sales cycle, from demo through proof of concept to design and implementation
Support enterprise Proofs of Concept
Maintain deep knowledge of competitive and complementary technologies and vendors
Collaborate with Product Management, Engineering, and Marketing to improve Snowflake products and marketing
Conduct deep discovery of customer architecture frameworks and connect them with Snowflake Data Architecture
Act as a technical thought partner for customers navigating the AI landscape

Requirements

What you’ll need

7–8 years of industry experience, including a minimum of 5 years in a pre-sales environment
Outstanding presentation skills for technical and executive audiences
5+ years of experience building and deploying machine learning and generative AI solutions in the cloud
Broad experience with large-scale database and/or data warehouse technology, ETL, analytics, and cloud technologies
Experience with Data Lake, Data Mesh, and Data Fabric concepts
Hands-on expertise with SQL, SQL analytics, and Python
Ability to connect customer business problems with Snowflake solutions
Ability to perform deep discovery of customer architecture frameworks and connect them with Snowflake Data Architecture
Proactive curiosity about the AI landscape
Proven ability to use AI code-generation tools
University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred
Experience with GSIs such as EY, Deloitte, or Accenture beneficial but not required
Approximately 30% travel

Benefits

Comp & perks

Approximately 30% travel
Equal employment opportunity
Diversity and belonging support
Snowflake confidentiality and security standards