# Senior Solution Engineer, Financial Services

**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, Proofs Of Concept, Ai Code Generation Tools
**Posted:** 2026-08-20

> Senior solution engineer partnering with sales teams and customers to demonstrate Snowflake, lead proofs of concept, navigate complex enterprise sales cycles, and connect business needs with data architectures. Requires substantial pre-sales experience, cloud AI solution delivery, and strong SQL and Python expertise.

## Job Description

## Responsibilities
- Present Snowflake technology and vision to executive and technical audiences.
- Demonstrate and communicate Snowflake’s value throughout the sales cycle, from demos and proofs of concept through design and implementation.
- Support enterprise proof-of-concept engagements.
- Work with sales teams and channel partners to understand customer needs and develop winning sales-cycle strategies.
- Maintain knowledge of competitive and complementary technologies and vendors, and position Snowflake accordingly.
- Collaborate with Product Management, Engineering, and Marketing to improve products and marketing.
- Conduct customer discovery, connect business problems to Snowflake solutions, and align customer architectures with Snowflake data architecture.
- Travel approximately 30%.

## 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.
- 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.
- Broad experience with large-scale database and data warehouse technologies, ETL, analytics, and cloud technologies.
- Hands-on expertise with SQL, SQL analytics, and Python.
- Ability to perform deep discovery of customer architecture frameworks.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred.

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

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