Forward Deployed Engineer – Data Engineer

Forward Deployed Engineer

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.

The Data Engineering Team builds the foundational infrastructure that powers our organization's data ecosystem. However, our platform's true value is realized when it is successfully integrated and operationalized within our customers' environments.

The Forward Deployed Engineering (FDE) group is the elite, customer-facing engineering arm of our Data Engineering team. FDEs bridge the gap between our core product and the complex, real-world data environments of our enterprise customers. You will build and deploy directly within our customers' diverse, highly secure ecosystems—leveraging the Snowflake AI Data Cloud to turn platform capabilities into production-ready data applications, workflows, and agentic AI solutions that solve critical business challenges.

As a Forward Deployed Engineer, you are a full-stack data practitioner who owns the actual code, configuration, optimization, and production deployment inside the customer's ecosystem.

You will dive deep into ambiguous data environments, navigate complex enterprise security controls, and rapidly prototype and deploy robust, production-grade solutions natively on top of Snowflake. Your mission is to minimize time-to-value for the customer, ensuring our platform integrates flawlessly with their existing pipelines, identity providers, and data governance frameworks.

When you complete an engagement, you don't just leave the customer with a slide deck; you leave them with a fully operational, production-hardened system running smoothly on their Snowflake stack.

• Execute In-Environment Deployments:
  Partner directly with customer technical teams to design, build, and deploy production-grade data pipelines, analytics tools, and automated workflows natively within their Snowflake environments.
• Build Advanced Snowflake Pipelines:
  Develop and maintain high-performance, cost-effective data workloads utilizing Snowpark (Python/SQL), Dynamic Tables, Streams, and Tasks.
• Deploy Native AI & Agentic Workflows:
  Integrate advanced platform capabilities directly into customer environments using Snowflake Cortex AI (Cortex Search, Cortex Analyst, and LLM functions) to safely orchestrate intelligent workflows on top of the customer's proprietary data.
• Solve Security & Governance Hurdles:
  Implement secure data ingestion and egress patterns that comply with strict customer data governance, masking policies, zero-trust networking, and compliance requirements.
• Drive Cross-Functional Synergy:
  Collaborate intensively with Product, Sales Engineering, and Customer Success stakeholders. You will synchronize on strategic customer priorities, proactively identify and mitigate technical blockers, and orchestrate friction-less operational transitions following production deployment.
• Rapid Prototyping & Custom App Building:
  Translate complex, highly ambiguous customer business requirements into working technical solutions. Build lightweight front-end data applications (e.g., via Streamlit in Snowflake, React apps) to make data immediately actionable for end users.
• Engineer the Core Feedback Loop:
  Act as the ultimate boots-on-the-ground user. Distill messy, real-world customer deployment challenges and product friction points into structured, actionable feedback to help our core engineering team improve the data platform.
• Technical Enablement:
  Document bespoke deployment architectures and runbooks. Train and mentor customer data…