Lead Forward Deployed Engineer - Migration
- Level
- Lead
- Work type
- Remote
Not stated in the posting: salary, visa.
Open. First seen 22 October 2026.
About the role
Snowflake's standard text
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's standard text
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
What this role asks for
Standard for solutions / sales engineering roles
Python
Common in solutions / sales engineering postings at any company.
76% of this description is written for the role. The rest is Snowflake's standard text, folded away below.
Compared with Snowflake's other open jobs.
The team: Professional Services HIRES STEADILY
This role is one of 9 open in Professional Services. 4 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Snowflake (9 of 9), Python (7 of 9), AWS (6 of 9), Data Warehousing (6 of 9), ETL (6 of 9), SQL (6 of 9), Azure (5 of 9)
OTHER ROLES ON THIS TEAM
- Principal Solutions Architect - Migrations posted Oct 19
- SNOWFLAKE FRONTIER ENGINEERING MANAGER, MIGRATIONS posted Oct 16
- Sr. Engagement Manager, Frontier Engineering posted Oct 12
- AI Deployment Strategist posted Sep 21
- Sr. Manager, Technical Delivery posted Aug 28
- Principal Solutions Architect - Data Engineering posted Aug 25
- Principal Solutions Architect - AI/ML - Services Delivery posted Jul 2
- Solutions Architect posted Mar 9
From the team and dates on Snowflake's own job board.
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