Snowflake

6 days ago

Senior Solution Engineer, HCLS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Solve complex customer problems and drive large enterprise deals as a senior solution engineer. Partner with sales and channel teams to understand customer needs, craft winning sales strategies, deliver value-based demonstrations, and support enterprise proof of concepts through design and implementation. Deeply learn competitive and adjacent technologies to position Snowflake effectively, and collaborate with product, engineering, and marketing to improve offerings and messaging.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
•Demonstrate and communicate Snowflake value through the sales cycle from demo to proof of concept to design and implementation.
•Support enterprise proof of concepts and guide design and implementation to close business.
•Maintain deep understanding of competitive and complementary technologies and vendors to position Snowflake effectively.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Travel: Medium travel

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

•7+ years of industry experience, including at least 5 years in a pre-sales environment.
•5+ years building and deploying machine learning and generative AI solutions in the cloud.
•Hands-on expertise with SQL, SQL analytics, and Python.
•Broad experience with large-scale database/data warehouse, ETL, analytics, and cloud technologies (e.g., Data Lake, Data Mesh, Data Fabric).
•A university degree in computer science, engineering, mathematics, or related fields (Master’s in Data Science or Business Administration is a plus).

Experience:7+ yearsPre-salesMachine learningGenerative AICloudData warehousingETL

Education:Bachelor's

Skills:PresentingCustomer-focusedCollaborationExperimental mindsetProblem-solving

Tech Stack:SQLPythonMachine learningGenerative AIData lakeData meshData fabricCloud

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

6 days ago

Senior Solution Engineer, HCLS

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
•Demonstrate and communicate Snowflake value through the sales cycle from demo to proof of concept to design and implementation.
•Support enterprise proof of concepts and guide design and implementation to close business.
•Maintain deep understanding of competitive and complementary technologies and vendors to position Snowflake effectively.
•Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Travel: Medium travel

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

•7+ years of industry experience, including at least 5 years in a pre-sales environment.
•5+ years building and deploying machine learning and generative AI solutions in the cloud.
•Hands-on expertise with SQL, SQL analytics, and Python.
•Broad experience with large-scale database/data warehouse, ETL, analytics, and cloud technologies (e.g., Data Lake, Data Mesh, Data Fabric).
•A university degree in computer science, engineering, mathematics, or related fields (Master’s in Data Science or Business Administration is a plus).

Experience:7+ yearsPre-salesMachine learningGenerative AICloudData warehousingETL

Education:Bachelor's

Skills:PresentingCustomer-focusedCollaborationExperimental mindsetProblem-solving

Tech Stack:SQLPythonMachine learningGenerative AIData lakeData meshData fabricCloud

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn