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Snowflake is seeking a Forward Deployed Engineer (Migration) to lead scoping, architecture, and technical direction for customer migration projects. You will embed with customer teams to modernize their data and application ecosystems using the Snowflake AI Data Cloud, acting as a trusted technical advisor throughout their transformation journey.
Key Responsibilities:
- Lead migration project execution across multiple customer engagements, setting architecture and direction for FDE teams designing and deploying robust software systems, tooling, and automation on Snowflake.
- Contribute directly to product development: build prototypes, develop features, and fix issues to drive roadmap impact and deepen product expertise.
- Provide expert technical guidance, mentorship, and training to client teams on Snowflake platform capabilities including data management, analytics, AI/ML, and BI integration.
- Design scalable data pipelines and modern data architectures, ensuring data quality, integrity, and efficient processing.
- Analyze and optimize data models, queries, and workflows to maximize performance, efficiency, and cost-effectiveness; champion Snowflake best practices.
- Evaluate and recommend modern data integration tools and techniques suited to the Snowflake ecosystem.
- Identify and resolve technical challenges, performance bottlenecks, and operational issues.
- May involve up to 20% travel to collaborate with teams and stakeholders.
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 related field.
- Excellent problem-solving, analytical, and communication skills.
- Proficiency in programming and scripting languages such as Python, Go, Java, or C++.
- Experience 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.
