# Senior Solution Engineer, HCLS

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Remote
**Role:** Sales Engineering
**Salary:** $165k – $217k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, Machine Learning, Generative AI, Data Warehousing, ETL, Analytics, cloud technologies, data lake, data mesh, data fabric
**Posted:** 2026-07-15

> Senior Solution Engineer supporting HCLS sales cycles at Snowflake by delivering technical demos, POCs, and architectural guidance on data warehousing, ML, and generative AI solutions to executives and technical teams.

## Job Description

## Responsibilities
- 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
- 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, 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 (e.g. 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.
- Expect approximately 30% travel.

## Nice-to-Haves
- Masters in Data Science or Business Administration.
- Experience with GSIs (EY, Deloitte, Accenture, etc).

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