# 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 warehouse, ETL, Analytics, data lake, data mesh, data fabric, cloud technologies, Pre-Sales, presenting
**Posted:** 2026-07-20

> 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 close complex enterprise deals. Requires 7+ years experience including 5+ years pre-sales and ML deployment.

## 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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