Software Engineer – Frontend / Fullstack (Data Governance & Security UI)

📍 Job Overview

Job Title: Software Engineer – Frontend / Fullstack (Data Governance & Security UI)

Company: Snowflake

Location: Menlo Park, California, United States

Job Type: FULL_TIME

Category: Engineering / Software / Data & Analytics / Security & Safety

Date Posted: March 20, 2026

Experience Level: 3+ Years Professional Experience

Remote Status: On-site

🚀 Role Summary

• Develop and enhance core product experiences within Snowflake's Horizon platform, focusing on data governance, data quality, security, and IAM.

• Implement robust full-stack solutions, integrating frontend components (React/TypeScript) with backend services, APIs, and data models.

• Thoughtfully apply AI-powered workflows, agents, and copilots to improve user productivity and accelerate development velocity in a cloud-native environment.

• Collaborate closely with Product Management and UX teams to translate complex requirements into intuitive and impactful user interfaces.

• Contribute to a culture of technical excellence, including participation in code reviews, technical design discussions, and a commitment to quality, performance, and accessibility.

📝 Enhancement Note: This role is positioned within a critical product area for Snowflake, focusing on the user experience for managing sensitive data and access controls. The emphasis on AI integration suggests a forward-looking approach to product development, requiring candidates to be adaptable and open to leveraging emerging technologies to solve complex problems in data governance and security.

📈 Primary Responsibilities

• Build and deliver new features for data governance (classification, tagging, policies), data quality (monitoring, observability, lineage), database security, IAM (RBAC, access control), and account manageability within the Horizon UI.

• Actively participate in technical design sessions for frontend projects, focusing on navigation, information architecture, performance optimization, and accessibility standards.

• Develop and integrate APIs and data models in collaboration with backend engineering teams to enable seamless user experiences and robust functionality.

• Integrate AI-driven features such as agents, copilots, and recommendation engines into the governance and security workflows, and utilize AI tools to enhance personal development velocity.

• Partner with Product Managers and UX Designers to support product roadmaps, translate requirements into technical specifications, and iterate on features based on customer feedback and telemetry data.

• Ensure the quality, reliability, and operational readiness of all implemented features, adhering to best practices in frontend architecture, testing methodologies, and performance tuning.

• Engage in constructive code reviews and design discussions to uphold high standards of code quality, maintainability, and system robustness.

📝 Enhancement Note: The responsibilities highlight a full-stack engineering role with a strong emphasis on user experience for complex enterprise features. The inclusion of AI integration and a focus on "product-driven engineering" indicates a need for engineers who can not only code but also understand the product vision and user needs, actively contributing to feature shaping and iteration based on data and feedback.

🎓 Skills & Qualifications

Education: BS/MS in Computer Science, a related technical field, or equivalent practical experience.

Experience: 3+ years of professional software engineering experience, with a significant portion dedicated to building production-ready web applications.

Required Skills:

• Proficient in modern frontend development, with strong expertise in React and TypeScript.

• Demonstrated full-stack capabilities, including comfort working with backend services, APIs, and data models.

• Ability to understand and define system boundaries and data contracts for effective integration.

• Experience in product-driven engineering, including partnering with Product Management and UX to shape and implement requirements.

• Proven ability to contribute to the end-to-end delivery of features, from initial design through to production rollout.

• Strong communication skills, with the ability to articulate technical decisions and concepts clearly to various stakeholders.

Preferred Skills:

• Experience building user interfaces for data governance, data lineage, security, Identity and Access Management (IAM), or complex administrative management tools.

• Experience with design systems or contributing to shared frontend infrastructure and component libraries.

• Hands-on experience with backend languages such as Java, Python, or Go.

• Exposure to building or integrating AI-driven product experiences, including agents or copilots.

• Familiarity with cloud-native environments and services on platforms like AWS, Azure, or GCP.

• Experience with performance optimization and ensuring high levels of application accessibility.

📝 Enhancement Note: The qualifications emphasize a blend of deep frontend expertise with practical full-stack experience. The preference for experience in data governance, security, and AI integration directly aligns with the team's charter, signaling that candidates with this specific domain knowledge will be highly competitive. The requirement for product-driven engineering suggests the company values engineers who can think beyond just code implementation and contribute to product strategy.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of complex web applications developed, demonstrating proficiency in React and TypeScript.

• Highlight projects where you collaborated closely with Product Management and UX to translate requirements into functional features, emphasizing user-centric design.

• Include case studies detailing contributions to backend services, API integrations, or data model implementations, illustrating full-stack capabilities.

• Present projects that involved data governance, security, or administrative management functionalities, if applicable, to demonstrate domain relevance.

Process Documentation:

• Document a project where you were involved in the full software development lifecycle, from initial concept and technical design through to deployment and post-launch iteration.

• Detail your approach to technical design, including how you considered factors like navigation, information architecture, performance, and accessibility.

• Illustrate how you used telemetry, customer feedback, or data analytics to inform engineering decisions and drive product improvements.

• Provide examples of how you collaborated with cross-functional teams (PM, UX, Backend) to achieve project goals, detailing communication and integration strategies.

📝 Enhancement Note: For this role, a portfolio that clearly articulates the candidate's ability to deliver end-to-end features in a product-centric manner is crucial. Emphasis should be placed on demonstrating not just technical skill but also the ability to collaborate, problem-solve for user needs, and contribute to the strategic direction of features, especially those involving complex data and security domains.

💵 Compensation & Benefits

Salary Range: $160,000 - $230,000 USD per year.

Benefits:

• Comprehensive health, dental, and vision insurance plans.

• Generous paid time off (PTO) and holiday schedule.

• Stock options and equity grants as part of compensation.

• 401(k) retirement savings plan with company match.

• Professional development opportunities, including training and conference attendance.

• Parental leave policies.

• Potential for performance-based bonuses.

Working Hours: Standard full-time workweek, typically 40 hours, with flexibility to accommodate project needs and cross-functional collaboration across different time zones.

📝 Enhancement Note: The salary range provided is competitive for a Software Engineer role with 3+ years of experience in the Menlo Park, California area. The benefits package is typical for a growth-stage tech company, emphasizing comprehensive health coverage, equity, and professional growth. The mention of "flexibility to accommodate project needs" implies that while a standard workweek is expected, occasional extended hours might be required to meet deadlines, particularly given the focus on product delivery and cross-functional collaboration.

🎯 Team & Company Context

🏢 Company Culture

Industry: Cloud Data Warehousing and Data Analytics. Snowflake is a leader in providing a cloud-based platform that enables organizations to store, process, and analyze vast amounts of data efficiently and securely.

Company Size: Snowflake is a large, publicly traded company with a significant global presence, employing thousands of people. This size offers both stability and opportunities for impact within specialized teams.

Founded: 2012. Snowflake has rapidly grown from a startup to a major player in the data technology landscape, known for its innovative architecture and market disruption.

Team Structure:

• The Data Governance & Security UI team is part of the broader engineering organization, likely reporting up through a Director or VP of Engineering.

• It operates as a product-focused unit, working closely with dedicated Product Managers and UX Designers.

• The team likely includes a mix of frontend, full-stack, and potentially backend engineers, with a focus on end-to-end feature ownership.

Methodology:

• Agile development methodologies are standard, likely involving sprints, daily stand-ups, and regular retrospectives to ensure efficient workflow and continuous improvement.

• A strong emphasis on data-driven decision-making, utilizing telemetry, A/B testing, and customer feedback to guide product development and feature iteration.

• Commitment to engineering best practices, including robust testing strategies, code reviews, CI/CD pipelines, and a focus on operational excellence and system reliability.

• Proactive adoption of new technologies, such as AI/ML, to enhance product capabilities and user experience.

Company Website: https://www.snowflake.com/

📝 Enhancement Note: Snowflake's culture is characterized by a fast-paced, innovative environment with a strong focus on customer impact and technological advancement. For an operations-minded engineer, this means an opportunity to work on cutting-edge technology within a rapidly growing market, with a clear emphasis on building scalable, secure, and user-friendly solutions that directly address critical business needs like data governance and security.

📈 Career & Growth Analysis

Operations Career Level: This role is for a mid-level Software Engineer, typically requiring 3+ years of professional experience. It sits beyond entry-level but is not yet a senior or lead position. The focus is on individual contribution and feature delivery within a specialized product area.

Reporting Structure: The Software Engineer will report to an Engineering Manager within the Data Governance & Security UI team. They will work closely with Product Managers and UX Designers, fostering a collaborative, product-centric team dynamic.

Operations Impact: The work directly impacts Snowflake's enterprise customers by providing them with essential tools to manage and secure their data. This role's output is critical for customer trust, compliance, and efficient data utilization, thereby playing a significant role in Snowflake's overall value proposition and market competitiveness.

Growth Opportunities:

• Technical Specialization: Deepen expertise in frontend technologies (React, TypeScript), full-stack development, and specific domains like data governance, security, and AI integration.

• Career Progression: Potential to advance to Senior Software Engineer, Staff Engineer, or Technical Lead roles, taking on more complex projects, architectural responsibilities, and mentorship duties.

• Cross-Functional Exposure: Gain experience working across different product areas and engineering disciplines within Snowflake, understanding the broader platform architecture and business objectives.

• Leadership Development: Opportunities to mentor junior engineers, lead feature initiatives, and contribute to technical strategy and roadmap planning.

• AI & Emerging Tech: Develop hands-on experience with cutting-edge AI technologies and their application in enterprise software, a highly valuable skill set.

📝 Enhancement Note: For an operations-focused engineer, this role offers a clear path for technical growth within a critical and expanding area of enterprise software. The emphasis on product delivery and cross-functional collaboration provides exposure to business needs and strategic thinking, which are valuable for career development beyond pure technical execution.

🌐 Work Environment

Office Type: This role is designated as On-site, indicating a requirement to work from Snowflake's office in Menlo Park, California.

Office Location(s): Menlo Park, California, United States. This location is in the heart of Silicon Valley, offering access to a vibrant tech ecosystem and talent pool.

Workspace Context:

• The office environment is expected to foster collaboration, with opportunities for in-person interaction with team members, Product Managers, and UX Designers, facilitating rapid iteration and problem-solving.

• Access to modern development tools and technologies will be provided, supporting efficient coding and development workflows.

• The workspace is designed to encourage innovation and knowledge sharing through team meetings, brainstorming sessions, and informal discussions.

Work Schedule: A standard 40-hour workweek is expected, with typical business hours. However, given the fast-paced nature of product development and the need for cross-functional collaboration, some flexibility may be required to meet project deadlines or accommodate team needs across different time zones.

📝 Enhancement Note: The on-site requirement suggests a preference for in-person collaboration, which can be beneficial for rapid problem-solving and team cohesion, especially in a product development context. For operations professionals, understanding the on-site expectations is crucial for assessing work-life balance and commute considerations.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review your application and resume, focusing on relevant experience in frontend/full-stack development, React, TypeScript, and any domain-specific experience (data governance, security).

• Technical Phone Screen: An interview with an engineer to assess fundamental coding skills, problem-solving abilities, and familiarity with core technologies.

You may be asked to whiteboard or discuss algorithms and data structures.

• On-site/Virtual On-site Interviews: Typically a series of interviews including:

  • Coding Interviews: Deep dives into frontend and full-stack development challenges, focusing on practical application of React, TypeScript, and API integration.
  • System Design Interview: Discussion on how to design scalable and maintainable web applications, potentially focusing on aspects related to data governance or security features.
  • Product/UX Collaboration Interview: Behavioral questions assessing your ability to partner with PM and UX, translate requirements, and incorporate feedback.
  • Behavioral Interview: Questions about past experiences, teamwork, conflict resolution, and alignment with Snowflake's values.

• Hiring Manager Discussion: A final conversation to assess overall fit, discuss career aspirations, and answer any remaining questions.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 key projects that best showcase your frontend (React, TypeScript) and full-stack skills. Prioritize projects demonstrating experience with complex UIs, API integrations, and ideally, data management, security, or administrative functionalities.

• Highlight Impact: For each project, clearly articulate the problem you solved, your specific contributions, the technologies used, and the outcome or impact achieved (e.g., performance improvements, user adoption, efficiency gains). Quantify results where possible.

• Demonstrate Process: Explain your development process, including how you collaborated with stakeholders (PM, UX), handled technical design challenges, implemented features, and ensured quality.

• Prepare for Deep Dives: Be ready to discuss your code, architectural decisions, and any challenges encountered during the development of your portfolio projects in detail.

Challenge Preparation:

• Coding Challenges: Practice common frontend and full-stack coding problems, focusing on algorithm efficiency, data structure usage, and clean, readable code. Familiarize yourself with LeetCode or similar platforms, targeting medium-level difficulty.

• System Design: Prepare to discuss designing scalable web applications. Consider how you would architect features related to data management, access control, or real-time updates, including API design, data modeling, and performance considerations.

• Product Thinking: Practice articulating how you would approach a new feature request from PM/UX. Think about user flows, technical feasibility, potential challenges, and how you'd measure success.

📝 Enhancement Note: The interview process is rigorous and designed to assess a broad range of skills. Candidates should prepare to demonstrate not only technical proficiency but also strong problem-solving, collaboration, and product-thinking capabilities. A well-prepared portfolio that directly aligns with the role's requirements will be a significant asset.

🛠 Tools & Technology Stack

Primary Tools:

• Frontend Framework: React.js, with a strong emphasis on component-based architecture and state management.

• Language: TypeScript for enhanced code quality, maintainability, and developer productivity.

• UI Platforms/Frameworks: Likely internal UI component libraries or established frameworks for building consistent and accessible user interfaces.

• Version Control: Git, with standard branching and merging workflows.

• Build Tools: Webpack, Vite, or similar for frontend build processes.

Analytics & Reporting:

• Telemetry Tools: Internal or third-party tools for instrumenting user interactions, tracking feature usage, and gathering performance metrics.

• Dashboarding Tools: Potentially tools for visualizing key performance indicators (KPIs) related to feature adoption, user engagement, and system health.

CRM & Automation:

• API Development: Experience with RESTful APIs or GraphQL for backend service integration.

• Databases: Understanding of data models and interactions with various database technologies, likely SQL-based or NoSQL solutions.

• Cloud Platforms: Familiarity with cloud-native environments (AWS, Azure, GCP) and their associated services.

• AI Integration: Experience with AI/ML frameworks or services for integrating intelligent features into applications.

📝 Enhancement Note: The technology stack is modern and heavily focused on JavaScript ecosystem technologies. Proficiency in React and TypeScript is paramount. The mention of AI integration indicates a forward-thinking approach, suggesting candidates with experience in this area will have an advantage. Understanding how to work with APIs and data models is critical for the full-stack aspect of the role.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering tangible value and making a significant contribution to Snowflake's growth and customer success. Engineers are encouraged to own outcomes.

• Innovation & Curiosity: Encouraging exploration of new technologies, creative problem-solving, and pushing the boundaries of what's possible, especially with AI integration.

• Collaboration & Teamwork: Fostering an environment where engineers work together, share knowledge, and support each other to achieve common goals. Open communication and constructive feedback are valued.

• Customer Focus: Understanding and prioritizing customer needs to build products that are intuitive, reliable, and solve real-world problems in data governance and security.

• Excellence & Quality: A commitment to high standards in code quality, system reliability, performance, and user experience, with a focus on continuous improvement.

Collaboration Style:

• Cross-Functional Integration: Engineers work closely with Product Managers, UX Designers, and other engineering teams (frontend, backend, platform) to ensure alignment and efficient product delivery.

• Open Communication Channels: Utilizing tools like Slack and participating in regular team meetings (stand-ups, design reviews) to maintain transparency and facilitate quick decision-making.

• Knowledge Sharing Culture: Encouraging engineers to share learnings through code reviews, internal tech talks, documentation, and pair programming.

• Data-Informed Iteration: A collaborative approach to using telemetry and feedback to iterate on features, making data-driven adjustments to improve user experience and product effectiveness.

📝 Enhancement Note: The team culture emphasizes a blend of individual accountability and collaborative effort, driven by a shared goal of delivering high-quality, impactful products. For an operations-minded candidate, this culture translates to an environment where process, efficiency, and user experience are paramount, and where contributions are measured by their impact on the business and its customers.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Data Governance & Security: Navigating the intricate requirements and evolving landscape of data governance and security regulations to build intuitive yet robust user experiences.

• AI Integration Nuances: Thoughtfully integrating AI capabilities (agents, copilots) to genuinely enhance user productivity without introducing complexity or compromising security and reliability.

• Scalability and Performance: Ensuring that the UI and underlying services can scale efficiently to support Snowflake's massive customer base and ever-growing data volumes.

• Balancing Innovation with Stability: Introducing new features, including AI-driven ones, while maintaining the high levels of stability and reliability expected from an enterprise platform.

Learning & Development Opportunities:

• Advanced Frontend & Full-Stack Skills: Deepening expertise in React, TypeScript, and modern web development patterns.

• Domain Expertise: Gaining specialized knowledge in data governance, data quality, and cybersecurity principles within the context of a leading data platform.

• AI/ML Application: Hands-on experience applying AI and machine learning technologies to solve practical enterprise software problems.

• Cloud-Native Development: Further understanding of building and deploying applications in cloud environments.

• Mentorship and Technical Leadership: Opportunities to grow into mentorship roles and contribute to technical strategy as experience increases.

📝 Enhancement Note: The challenges presented are typical for roles involving complex enterprise software, particularly in areas like data security and AI. These challenges also represent significant growth opportunities, allowing engineers to develop highly sought-after skills and expertise.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate a complex product requirement from PM/UX into a technical implementation. What was your approach, and what were the challenges?" (Prepare with a specific project example, detailing your thought process, technical decisions, and collaboration.)

• "How would you approach designing a UI component for data classification or policy management? What technical considerations (performance, accessibility, scalability) would you prioritize?" (Think about user workflows, data structures, API interactions, and UI patterns.)

Company & Culture Questions:

• "Why are you interested in Snowflake and this specific role focused on data governance and security?" (Research Snowflake's mission, products, and recent news. Connect your skills and interests to the team's charter.)

• "How do you approach collaboration with Product Managers and UX Designers? Describe a situation where you disagreed on a technical approach and how you resolved it." (Focus on communication, compromise, and a shared commitment to product goals.)

Portfolio Presentation Strategy:

• Storytelling: Structure your portfolio presentation around a narrative. Start with the problem, explain your solution and contributions, highlight the technologies and processes used, and conclude with the impact and learnings.

• Visual Aids: Use clear slides with screenshots, diagrams, and concise bullet points. If possible, prepare a brief live demo or a recorded walkthrough of a relevant project.

• Quantify Impact: Whenever possible, use metrics to demonstrate the success of your projects (e.g., "improved load time by 30%", "reduced user errors by 15%", "handled X concurrent users").

• Focus on Relevance: Tailor your presentation to highlight aspects of your projects that directly align with the requirements of this role – frontend expertise, full-stack capabilities, and any experience with data governance, security, or AI.

• Be Prepared for Questions: Anticipate questions about your technical decisions, challenges faced, and alternative approaches you considered.

📝 Enhancement Note: Effective preparation for this role involves not only technical readiness but also a strong understanding of product development processes and collaborative teamwork. Demonstrating how you translate user needs into robust technical solutions will be key.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided job portal link.

• Tailor Your Resume: Ensure your resume clearly highlights 3+ years of professional software engineering experience, with specific emphasis on React, TypeScript, full-stack development, and any experience related to data governance, security, or AI integration. Use keywords from the job description.

• Prepare Your Portfolio: Curate 2-3 key projects that best showcase your frontend and full-stack skills. For each project, be ready to articulate your contributions, the technical challenges overcome, and the impact achieved, with a focus on user experience and product-driven development.

• Practice Interview Responses: Rehearse answers to common technical, behavioral, and system design questions, drawing upon your project experience. Prepare specific examples for how you collaborate with Product and UX.

• Research Snowflake: Understand Snowflake's core products, its position in the data cloud market, and its company values. Be ready to articulate why you are a good fit for their culture and this specific team's mission.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.