Frontend Software Engineer - Data Governance

Snowflake•Menlo Park, CA

About The Position

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. About the Team The team owns the core Experience that customers use to manage and protect their data and accounts in Snowflake. Our charter spans: Data Governance (data classification, tagging, policies) Data Quality (data quality monitoring, observability, lineage) Database Security & IAM (RBAC, access control, privileges) Account & Organization Manageability (account configuration, monitoring, lifecycle) We build opinionated, high-impact product experiences that let admins, data stewards, and builders understand what’s happening to their data, control who can do what, and quickly act when something looks wrong. We work end-to-end with PM, UX, and backend teams across Snowflake, and we are increasingly leveraging AI-powered workflows and assistants to make complex governance and security tasks feel simple. About the Role We are looking for a Software Engineer with strong frontend skills and solid full-stack experience to help build the next generation of governance and security experiences in Horizon. You will: Partner closely with PM and UX to translate product requirements into clear product experiences and MVPs. Implement features across the full stack (React/TypeScript, UI platforms, APIs, data models). Embrace and apply AI (agents, copilots, recommendations, auto-configuration) to enhance user productivity and developer velocity.

Requirements

3+ years of professional software engineering experience, including time building production web applications.
Solid experience in modern frontend development, specifically with React and TypeScript.
Demonstrated full-stack capability: Comfortable working with backend services, APIs, and data models.
Ability to understand system boundaries and data contracts.
Experience with product-driven engineering: Experience partnering with PM/UX to shape and implement requirements.
Willingness to use telemetry and feedback to inform engineering decisions.
Experience contributing to the delivery of features from design through rollout.
Strong communication skills and the ability to explain technical decisions clearly.
BS/MS in Computer Science or related field, or equivalent practical experience.

Nice To Haves

Experience building UIs for data governance, data lineage, security, IAM, or complex admin management.
Experience using or contributing to design systems or shared frontend infrastructure.
Hands-on experience with TypeScript, React, Java, Python or Go.
Exposure to building or integrating AI-driven product experiences.
Experience working in cloud-native environments like AWS, Azure, or GCP.

Responsibilities

Contribute to core product experiences: Build and deliver features across data governance, data quality, security, IAM, and account manageability in Horizon.
Participate in technical design: Assist with the technical design for frontend projects (navigation, information architecture, performance, accessibility) and drive your tasks to completion.
Develop full-stack solutions: Collaborate with backend teams to integrate APIs and data models that unlock great UX.
Apply AI thoughtfully: Integrate AI-powered workflows and copilots into governance and security UIs.
Use AI tools to accelerate development while maintaining engineering standards.
Partner with product & UX: Support roadmaps and product requirements with a strong technical mindset.
Instrument experiences with telemetry and iterate based on customer feedback.
Maintain quality & reliability: Follow best practices for frontend architecture, testing, performance, and accessibility.
Ensure features are operationally ready and resilient.
Collaborate and share knowledge: Participate actively in code reviews and design discussions to ensure high code quality.