Lead Forward Deployed Engineer - Migration

About the role

Snowflake is hiring a Lead Forward Deployed Engineer (FDE) for its Migration services, based in Melbourne or Sydney. As a Lead FDE, 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 with customers to understand their business challenges and design, build and implement modern data solutions, acting as a trusted technical advisor.

Key responsibilities

• Work across multiple FDE teams, each focused on a specific customer, setting the architecture and technical direction for migrations to Snowflake.
• Contribute directly to Snowflake's product by building prototypes, contributing to feature development and fixing issues found, helping shape the product roadmap.
• Provide expert technical guidance, mentoring and training to customer teams on data management, analytics, AI/ML capabilities and BI/reporting integration.
• Design scalable data pipelines and modern data architectures, ensuring data quality, integrity and efficient processing.
• Analyse and optimise data models, queries and workflows for performance, efficiency and cost, championing Snowflake best practices.
• Evaluate, recommend and implement modern data integration tools and techniques.
• Identify and resolve technical challenges, performance bottlenecks and operational issues.

Required profile

• Experience working directly with customers on complex, multi-faceted technical projects.
• 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.
• Ability to work independently and collaboratively in a customer-facing environment.
• Up to 20% travel to collaborate with customers, teams and stakeholders.

Required skills

• 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.