---
title: 'Partner Solutions Engineer - VAR at Snowflake'
canonical: 'https://feeny.ai/job/partner-solutions-engineer-var-snowflake-paris-wwb6tx508pf2'
type: 'job'
last_seen: '2026-11-06'
---

# Partner Solutions Engineer - VAR at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-16
- **Last confirmed live:** 2026-11-06
- **Apply:** https://jobs.ashbyhq.com/snowflake/a90e05b3-6f6a-42af-aa3b-32269b176b00

## 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. Snowflake is at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate, create work with a lasting impact, and excel in a culture of collaboration.

Snowflake is rapidly growing its Alliances & Channel Organization. Value Added Reseller (VAR) and Reseller partners are an integral part of Snowflake's business, helping customers unlock the power of the Snowflake AI Data Cloud. We are looking for a self-driven go-getter to help grow VAR and Reseller partners into profitable revenue streams and accelerate the growth of the business across EMEA South.

We are seeking a candidate with a proven track record of successfully working with current and potential partners in the EMEA VAR and Reseller community. The ideal candidate will have strong business acumen in growing a business, channel, or partnership, with a passion for working closely with sales teams throughout the sales cycle. Knowledge of the broader data & AI platform ecosystem, products, and competition is essential to influence and be the partner’s trusted advisor.

Success in this position requires the candidate to be adept at managing relationships, executing programs, setting goals and metrics, and tracking and ensuring progress. The candidate will also need to help shape and deliver on a cross-functional strategy, working closely with the Partner Sales Director to build mindshare among Snowflake VAR and Reseller Partners.

As a Partner Solutions Engineer - VAR/Reseller, you will:

- Help Solution Providers/Practice Leads with the technical strategies that enable them to sell their offerings on Snowflake.
- Forward Strategic thinking - quickly grasp the essence of new concepts and business value messaging.
- Strong understanding of how VAR and Reseller partners make revenue through the Industry priorities & complexities they face and influence where Snowflake products can have the most impact for their product services.
- Help develop and launch joint differentiated solution offerings with VAR, Reseller Partners, and System Integrators taking part in the Resell motion.
- Engage in conversations with other technologists, providing presentations at the C-level.
- Act as a key technical resource during the sales cycle, enabling partners to effectively position and sell Snowflake solutions.
- Create and develop technical champions in your accounts to drive deals and achieve a technical win

OUR IDEAL PARTNER SOLUTIONS ENGINEER - VAR/Reseller EMEA WILL HAVE:

- 5+ years of industry experience within Partnership/Alliances Technical Pre-sales in the EMEA VAR and Reseller ecosystem, with a focus on selling business solutions and outcomes.
- Ability to handle business topics of varying complexity and priority in an efficient way.
- Strong architectural expertise, with the ability to provide upskilling workshops to Partner Solution Architects on various areas of the Snowflake Data Platform, implying:
- Experience in developing and deploying data pipelines with different data platforms. SQL and PySpark are basic requirements, with experience in technologies such as Spark, Scala, Kafka a plus, and Apache NiFi a major plus.
- Proficiency with at least one public cloud platform (Azure, AWS or Google Cloud) and experience with widely used DevOps and CI/CD tools such as Jenkins, GitHub Actions or equivalents, as well as Cloud integration technologies such as Fivetran, Azure Data Factory or AWS Glue or equivalents..
- Developing and deploying Machine Learning models through the full Data Science life cycle, is a plus.
- Experience working with cross-functional teams, including marketing, sales and product managers, in an international environment.
- MS/PhD in Computer Science or related majors, or proven professional experience in the data and AI field in technical roles.
- Ability to travel up to 25% of the time

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

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