Why This Job is Featured on The SaaS Jobs
Forward Deployed Engineering sits at an increasingly important intersection in enterprise SaaS: product-grade engineering applied directly to real customer environments. In Snowflake’s case, the role is anchored in a cloud data platform where modernization work often spans analytics, AI initiatives, and application ecosystems, making the position relevant to how leading SaaS vendors drive adoption in complex accounts.
For a SaaS career, this kind of work builds a rare blend of skills that transfer across platform and infrastructure companies: translating ambiguous business goals into technical architectures, shipping automation and tooling that can be repeated, and learning how performance, cost, and reliability trade-offs show up in production. It also develops strong product instincts by exposing patterns across multiple customers rather than a single internal roadmap.
This role tends to suit senior engineers who prefer problem framing as much as implementation and who are comfortable operating close to stakeholders. It aligns with professionals who value variety in technical challenges, can document and standardize solutions, and want their engineering output to influence both customer outcomes and platform best practices.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
As a Senior Forward Deployed Engineer (FDE), you will be embedded 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 and 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:
Software Development: Design, build, and deploy robust software systems, tooling, and automation required to support customer solutions on Snowflake. Create comprehensive documentation for developed solutions, technical configurations, and best practices.
Data Engineering & Platform Implementation: Design and implement 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.
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.
Troubleshooting and Support: Identify and resolve technical challenges, performance bottlenecks, and operational issues.
REQUIREMENTS:
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.
DESIRABLE:
Strong proficiency in SQL and experience working with relational databases and data integration technologies.
Experience with cloud platforms (AWS, Azure, GCP).
Experience implementing solutions on the Snowflake Data Cloud.
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.
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
