---
title: 'Lead Forward Deployed Engineer - Migration at Snowflake'
canonical: 'https://feeny.ai/job/lead-forward-deployed-engineer-migration-snowflake-netherlands-3e82zqyc45vn'
type: 'job'
last_seen: '2026-10-23'
---

# Lead Forward Deployed Engineer - Migration at Snowflake

- **Company:** [Snowflake](https://feeny.ai/companies/snowflake)
- **Location:** Netherlands
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-22
- **Last confirmed live:** 2026-10-23
- **Apply:** https://jobs.ashbyhq.com/snowflake/0f2d263b-37c1-4e5c-92b7-007818fbc0d5

## 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. As a Lead Migrations Forward Deployed Engineer (Migration FDE), you will lead scoping, architecture and direction as the FDE team embeds with customers to lead the modernization of their data and application ecosystem using the Snowflake AI Data Cloud. You will partner closely with clients to understand their business challenges to design, build, and implement cutting-edge data solutions on Snowflake. Your role is crucial in enabling customers to harness the full potential of their data, driving insights, and powering AI initiatives. You'll act as a trusted technical advisor, ensuring customers achieve significant business value and success with Snowflake.

WHAT YOU WILL BE RESPONSIBLE FOR:

- Migration Project Execution: You will work with multiple FDE teams that each focus on a specific customer. You’ll set architecture and direction for the team as it works to design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake.
- Software Development: All Migration FDE members, leads and otherwise, contribute to our product. We build prototypes, contribute to feature development, fix problems that we find. Doing so helps drive impact on the roadmap and improves individual depth in the product itself.
- Client Collaboration and Enablement: Provide expert technical guidance, mentorship, and training to client teams on leveraging the Snowflake platform effectively, including data management, analytics, AI/ML capabilities, and reporting/BI integration.
- Platform Implementation: Design scalable data pipelines and modern data architectures on Snowflake. Ensure data quality, integrity, and efficient processing within the customer's modern data environment.
- Performance Optimization & Best Practices: Analyze and optimize data models, queries, and data processing workflows to maximize performance, efficiency, and cost-effectiveness within the Snowflake environment. Champion Snowflake best practices.
- Modern Data Solutions: Evaluate, recommend, and implement modern data integration tools and techniques suitable for the Snowflake ecosystem, helping customers evolve their data capabilities.
- Troubleshooting and Support: Identify and resolve technical challenges, performance bottlenecks, and operational issues.

## REQUIREMENTS:

- Prior experience working with customers on complex, multi-faceted projects.
- Big plus: prior experience delivering complex data-driven application migrations.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Excellent problem-solving, analytical, and communication skills.
- Proficiency in programming and scripting languages such as Python, Go, Java or C++.
- Experience with developing AI/ML applications.
- Strong understanding of data modeling, data warehousing & data lake concepts, and cloud data platforms.
- Ability to work independently and collaboratively in a client-facing environment.
- To accelerate successful outcomes and foster trust, the role may involve travel up to 20% of the time to collaborate with teams and stakeholders.

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

- [Partner Sales Director - VAR](https://feeny.ai/job/partner-sales-director-var-snowflake-paris-j06pp22yk3y1) — Paris, France
- [Forward Deployed Engineer, Frontier Engineering](https://feeny.ai/job/forward-deployed-engineer-frontier-engineering-snowflake-new-zealand-bzk0j6dnjtz9) — New Zealand
- [AI/ML Consulting Manager](https://feeny.ai/job/ai-ml-consulting-manager-snowflake-au-sydney-2e9d653zme7t) — Au-Sydney
- [Engineering Manager/Tech Lead Manager - Runtime Engineering](https://feeny.ai/job/engineering-manager-tech-lead-manager-runtime-engineering-snowflake-us-ca-menlo-7k54966zvsx8) — Us-Ca-Menlo Park
- [Senior Software Engineer - Marketplace](https://feeny.ai/job/senior-software-engineer-marketplace-snowflake-us-ca-menlo-park-jhxx0aprnbm1) — Us-Ca-Menlo Park
- [Executive Assistant, Product](https://feeny.ai/job/executive-assistant-product-snowflake-us-wa-bellevue-r7fh8ec1q5xf) — Us-Wa-Bellevue
- [Sales Enablement, Principal](https://feeny.ai/job/sales-enablement-principal-snowflake-us-il-chicago-mso-pc7vdvjv4etf) — Us-Il-Chicago-Mso
- [Senior Software Engineer (Fullstack, Frontend-Focused)](https://feeny.ai/job/senior-software-engineer-fullstack-frontend-focused-snowflake-in-bangalore-mso-rzp5q4kjbrfj) — In-Bangalore-Mso
- [Senior Payroll Analyst](https://feeny.ai/job/senior-payroll-analyst-snowflake-pune-6pyevzxqpz02) — Pune, India
- [Senior Software Engineer - Warehouse UX](https://feeny.ai/job/senior-software-engineer-warehouse-ux-snowflake-us-ca-menlo-park-d3ddkmkhdvvb) — Us-Ca-Menlo Park