# Senior Solution Engineer, Retail & Consumer Goods

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Remote
**Role:** Sales Engineering
**Salary:** $165k – $217k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Machine Learning, Generative AI, Cloud Computing, Databases, Data Warehousing, ETL, Data Analytics, Data Lakes, Data Mesh, Data Fabric, Ai Code Generation, Proof Of Concept
**Posted:** 2026-08-24

> Senior Solution Engineer partnering with sales teams and customers to demonstrate Snowflake, lead enterprise proofs of concept, and close complex deals. Requires at least five years of pre-sales experience, cloud-based ML and generative AI expertise, strong SQL and Python skills, and executive-level presentation ability.

## Job Description

## Responsibilities
- Present Snowflake technology and vision to executive and technical audiences.
- Partner with sales teams and channel partners to understand customer needs and navigate winning sales cycles.
- Demonstrate Snowflake’s value throughout the sales cycle, from initial demonstrations through proofs of concept, design, and implementation.
- Support enterprise proofs of concept and help close large deals.
- Research industry trends, competitive technologies, complementary vendors, and positioning strategies.
- Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
- Conduct deep discovery of customer architecture and connect business problems to Snowflake data architecture and solutions.

## Requirements
- 5–7+ years of industry experience, including at least 5 years in a pre-sales environment.
- Outstanding presentation skills for technical and executive audiences, including whiteboarding, presentations, and demonstrations.
- At least 5 years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Curiosity about the AI landscape and ability to act as a technical thought partner for customers.
- Experience using AI code-generation tools to improve productivity and efficiency.
- Broad experience with large-scale databases, data warehouses, ETL, analytics, and cloud technologies.
- Hands-on expertise with SQL, SQL analytics, and Python.
- Ability to connect customer business problems with technical solutions.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred.

## Nice to have
- Experience with data lakes, data mesh, or data fabric architectures.
- Master’s degree in data science or business administration.
- Experience working with global system integrators such as EY, Deloitte, or Accenture.

## Compensation
- Annual salary range: $165,000–$216,562.
- Approximately 25%–30% travel is expected.

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