# Senior Solution Engineer

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** New York, NY, Menlo Park, CA, Dublin, CA
**Role:** Sales Engineering
**Salary:** $165k – $217k/yr
**Experience:** 7+ years
**Skills:** SQL, Python, ETL, Data Warehousing, cloud technologies, data lakes, data mesh, data fabric, Analytics, Snowflake, ai code generation tools, proofs of concept
**Posted:** 2026-07-31

> Senior Solution Engineer supporting complex enterprise sales cycles through technical discovery, value-based demonstrations, proofs of concept, and architecture guidance. Requires at least five years of pre-sales experience, broad data and cloud expertise, and strong SQL and Python skills.

## Job Description

## Responsibilities
- Present Snowflake technology and vision to executives and technical contributors at prospects and customers.
- Demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demos and proofs of concept through design and implementation.
- Support enterprise proofs of concept and help close business.
- Work with sales teams and channel partners to understand customer needs and strategize winning sales cycles.
- Maintain deep knowledge of competitive and complementary technologies and vendors, and position Snowflake accordingly.
- Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
- Connect customers’ business problems with Snowflake solutions.
- Discover customers’ architecture frameworks and connect them with Snowflake data architecture.
- Serve as a technical thought partner for customers navigating the AI landscape.

## Requirements
- 7–8 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 demos.
- Broad experience with large-scale database and/or data warehouse technology, ETL, analytics, and cloud technologies.
- Experience with data lakes, data mesh, or data fabric architectures.
- Hands-on expertise with SQL, SQL analytics, and Python.
- Ability to work effectively in both business and technical contexts.
- Ability to perform deep customer discovery and relate architecture requirements to data architecture.
- Proven ability to use AI code-generation tools to improve productivity.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred.

## Nice-to-haves
- Master’s degree in Data Science or Business Administration.
- Experience working with global systems integrators such as EY, Deloitte, or Accenture.

## Compensation & Benefits
- Total on-target earnings: $260,000–$288,000.
- Competitive base salary, variable compensation, and equity.
- Benefits include 401(k), health, dental, and vision coverage, flexible PTO, and a professional development budget.

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