Lead Forward Deployed Engineer
Snowflake
Lead Forward Deployed Engineer
Snowflake
Runs a cloud platform for business data and AI
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.
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.
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.
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
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
Snowflake runs a cloud platform where businesses store and analyze data, build AI tools, and share information under common access controls. Its platform separates stored data from computing resources, letting teams run different workloads without maintaining database servers. Analysts query business records with SQL, while developers use Python and other languages to build applications and train models against the same data; Cortex connects AI models to company records so teams build assistants and automate analysis. Customers pay for storage and computing usage across Amazon, Microsoft, and Google infrastructure. Snowflake was founded in 2012 and has its headquarters in Menlo Park, California.
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