---
title: 'Solution Engineer at Snowflake'
canonical: 'https://feeny.ai/job/solution-engineer-snowflake-atlanta-5tsr8hezqvjr'
type: 'job'
last_seen: '2026-09-04'
---

# Solution Engineer at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Atlanta, GA
- **Compensation:** $138k–$181k
- **Employment:** full-time
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/snowflake/4b494244-50fe-4c55-837c-5c347ff5235b

## Job description

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation.

In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences.

LOCATION: CANDIDATE MUST BE LOCATED IN OR NEAR ATLANTA.

## WHAT YOU’LL DO

- Lead customer conversations on AI strategy and data modernization.
- Design and demonstrate scalable data and AI solutions using SQL and Python.
- Support enterprise Proof of Concepts from concept to value realization.
- Translate complex technical concepts into measurable business outcomes.
- Navigate objections and competitive dynamics in high-stakes sales cycles.
- Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery.

## WHAT YOU BRING

- Strong SQL proficiency and experience with modern data warehousing.
- Experience using Python for analytics or ML workflows.
- Familiarity with AI/ML concepts, including Generative AI and LLMs.
- Exceptional communication skills across technical and executive audiences.
- Ability to influence stakeholders and maintain credibility under pressure.
- A growth mindset with a track record of learning and adapting quickly.

Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com

## About Snowflake

## Company Overview
- **One-liner**: Snowflake provides an AI Data Cloud platform that enables enterprises to store, analyze, and securely share their data across multiple clouds and geographies.
- **Entity Type**: Public (NYSE: SNOW)
- **Headquarters**: Bozeman, Montana, United States
- **Founded**: 2012
- **Founders**: Not explicitly listed in the provided search results (widely known co-founders include Benoit Dageville, Thierry Cruanes, Marcin Zukowski – not verified in these search results)

## Core Business
- **Primary Industry**: Enterprise software, cloud data platform
- **Target Customers**: B2B, including large enterprises (e.g., hundreds of the world’s largest companies), mid-market, and SMBs
- **Mission**: “To Mobilize the World’s Data” (Glassdoor) and “empower every enterprise to achieve its full potential through data and AI” (Snowflake Careers page)

## Products & Services
- **Snowflake AI Data Cloud**: A unified, multi-cloud platform that combines data warehousing, data lakes, data sharing, and AI/ML capabilities. Customers can discover, share, and analyze data while running analytic workloads across public clouds (AWS, Azure, GCP).
- **Snowflake Marketplace**: A marketplace for discovering and accessing third‑party data sets and applications.
- **Snowflake‑Powered Applications**: Platform for building and deploying data‑intensive applications.

## Market Standing
- **Valuation/Market Cap**: Not directly provided in search results (as a public company, market cap fluctuates and is available on financial websites).
- **Key Metric**: Annual Revenue – $1 to $5 billion (USD) per Glassdoor.
- **Notable Investors/Partners**: Not explicitly mentioned in the search results (historically backed by Sequoia Capital, Dragoneer, etc. – not verified here).
- **Growth Signals**:
  - Named #1 on the 2023 Fortune Future 50 List ([Fortune.com](https://fortune.com))
  - Listed as a U.S. Best Large Place to Work by BuiltIn in 2024
  - Recognized as one of the “20 Coolest Cloud Software Companies” by CRN in 2022 and 2024
  - Headcount of 5,001–10,000 employees with 30 global locations; actively hiring
  - Revenue range $1B–$5B indicates strong scale

## Competitive Advantages
- **Multi‑Cloud Flexibility**: Operates across AWS, Azure, and GCP, avoiding vendor lock‑in.
- **Unified Data Experience**: One platform for data sharing, analytics, and AI, reducing silos.
- **Separation of Compute and Storage**: Allows independent scaling and cost efficiency (not detailed in provided sources, but a known differentiator).
- **Strong Ecosystem**: Data marketplace and extensive partner network.

## Strategic Focus
- **AI & Data Innovation**: The company’s current emphasis is on making “enterprise AI easy, efficient, and trusted” and integrating AI capabilities into the Data Cloud.
- **Global Expansion**: Active hiring across 30 locations indicates continued geographic growth.
- **Customer‑Centric Development**: Focus on empowering enterprises to achieve “full potential through data and AI.”

## Why Work Here
- **Culture**: Described as “driven by innovation, low egos, high bars, and collaboration” (Snowflake Careers page). Glassdoor rating of 3.9/5 overall (78% approve CEO).
- **Work‑Life Balance**: Glassdoor rates Work/Life Balance at 3.7/5; many remote and hybrid roles available (see Indeed listings).
- **Benefits**: “Benefits & Beyond” program includes competitive compensation, equity, career advancement programs, and commitment to pay equality and veteran hiring.
- **Engineering Focus**: Hiring process includes 2–4 week timeline with technical interviews; the company values impactful, project‑based work for all roles, including interns.
- **Recognition**: Named a Best Large Place to Work (BuiltIn 2024) and future‑focused by Fortune, signaling strong employer brand.

## Sources
1. [Snowflake Careers Overview](https://careers.snowflake.com/us/en)
2. [Life at Snowflake](https://careers.snowflake.com/us/en/snowflake-life)
3. [Snowflake on Glassdoor](https://www.glassdoor.com/Overview/Working-at-Snowflake-EI_IE928471.11,20.htm)
4. [Snowflake Hiring Process](https://careers.snowflake.com/us/en/gethired)
5. [Snowflake on Indeed](https://www.indeed.com/cmp/Snowflake-7f4a7fba)
6. [Snowflake Careers Portal (Ashby)](https://jobs.ashbyhq.com/snowflake) – provided by user

## Other roles at Snowflake

- [Strategic Events Specialist, EMEA](https://feeny.ai/job/strategic-events-specialist-emea-snowflake-london-e0aktq37y0hh) — London, United Kingdom
- [Sales Development Representative](https://feeny.ai/job/sales-development-representative-snowflake-sydney-x4rdpkcc3yzd) — Sydney, Australia
- [AI Research Scientist, New Grad – Agents & Reinforcement Learning](https://feeny.ai/job/ai-research-scientist-new-grad-agents-reinforcement-learning-snowflake-bellevue-a87enzz636zr) — Bellevue, WA
- [Principal Business Operations Manager, Ops & AI Tooling](https://feeny.ai/job/principal-business-operations-manager-ops-ai-tooling-snowflake-menlo-park-cv7r8zmydckx) — Menlo Park, CA
- [Senior Software Engineer - Cloud Efficiency](https://feeny.ai/job/senior-software-engineer-cloud-efficiency-snowflake-bellevue-nd411k1s2v4a) — Bellevue, WA
- [Head of Marketing, GCC](https://feeny.ai/job/head-of-marketing-gcc-snowflake-bangalore-8j4b1v6w8eyq) — Bangalore, India
- [Enterprise Account Executive - Expansion](https://feeny.ai/job/enterprise-account-executive-expansion-snowflake-stockholm-dqa3xyhzth4f) — Stockholm, Sweden
- [Senior Cloud Support Engineer](https://feeny.ai/job/senior-cloud-support-engineer-snowflake-tokyo-mjkx9212eavf) — Tokyo, Japan
- [Solutions Architect, Frontier Engineering](https://feeny.ai/job/solutions-architect-frontier-engineering-snowflake-tokyo-6zrwry1jdaw4) — Tokyo, Japan
- [Senior Software Engineer - Cloud Security](https://feeny.ai/job/senior-software-engineer-cloud-security-snowflake-menlo-park-sj8s5qyrkvgq) — Menlo Park, CA