Lead Forward Deployed Engineer – Migration
Snowflake is hiring a Lead Forward Deployed Engineer – Migration for a remote role open to applicants in Australia. Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this forward deployed engineer role: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions software development, data architecture and customer migration among its tools and skills.
- Snowflake has 365 other open roles on Level.
- Posted within the past week.
AI in this role
Lead forward deployed engineering teams in building data solutions and AI integrations on the Snowflake AI Data Cloud.
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.
Lead Forward Deployed Engineer – Migration
Location: AU-Melbourne / AU-Sydney
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 Forward Deployed Engineer (FDE) – Migration Services, you will lead scoping, architecture and technical direction as FDE teams embed with customers to modernise their data and application ecosystems on the Snowflake AI Data Cloud. You will partner closely with customers to understand their business challenges, then design, build and implement modern data solutions on Snowflake. You'll act as a trusted technical advisor, helping customers unlock the full potential of their data, drive insights, power AI initiatives and achieve significant business value with Snowflake.
WHAT YOU WILL BE RESPONSIBLE FOR:
Migration Leadership: Work across multiple FDE teams, each focused on a specific customer. Set the architecture and technical direction as teams design, build and deploy the software systems, tooling and automation needed for customer migrations to Snowflake.
Software Development: Contribute directly to Snowflake's product, as every Migration FDE does. Build prototypes, contribute to feature development and fix the problems we find, helping shape the product roadmap and deepening your product expertise.
Customer Collaboration and Enablement: Provide expert technical guidance, mentoring and training to customer teams on using Snowflake effectively, including data management, analytics, AI/ML capabilities and BI/reporting integration.
Platform Implementation: Design scalable data pipelines and modern data architectures on Snowflake, ensuring data quality, integrity and efficient processing.
Performance Optimisation and Best Practices: Analyse and optimise data models, queries and processing workflows for performance, efficiency and cost. Champion Snowflake best practices.
Modern Data Solutions: Evaluate, recommend and implement modern data integration tools and techniques that help customers evolve their data capabilities.
Troubleshooting: Identify and resolve technical challenges, performance bottlenecks and operational issues.
REQUIREMENTS:
Experience working directly with customers on complex, multi-faceted technical projects
Proficiency in one or more programming languages, such as Python, Go, Java or C++
Experience developing AI/ML applications
Strong understanding of data modelling, data warehousing, data lakes and cloud data platforms
Excellent problem-solving, analytical and communication skills
Ability to work independently and collaboratively in a customer-facing environment
Bachelor's degree in Computer Science, Information Systems or a related field, or equivalent practical experience
PREFERRED:
Experience delivering complex data and application migrations to the cloud
Travel: This role may involve up to 20% travel to collaborate with customers, 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.
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
How we rate this
Lead Forward Deployed Engineer – Migration at Snowflake rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in forward deployed engineer jobs at this level
Pay
- Typical forward deployed engineer job
- $180k
This posting doesn't list pay. Use the typical forward deployed engineer figure when pay comes up. See forward deployed engineer jobs
Questions you could be asked
- Tell me about a project where software development was part of your work. What did you do?
- Tell me about a project where data architecture was part of your work. What did you do?
- Tell me about a project where customer migration was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Software Development, Data Architecture, Customer Migration, and AI Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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