The Challenge

As AI and data products become business-critical, enterprises face a metadata crisis:

• No unified way to track the complex data supply chain feeding AI systems
• Engineering teams struggling with data discovery, lineage, and governance
• Organizations needing machine-scale metadata management, not just human-browsable catalogs

The Role

We're seeking a seasoned Full Stack Engineering Lead to architect and drive the development of our high-performance, consumer-grade data platform. In this role, you'll lead the technical direction of our user-facing products, focusing on building scalable, responsive applications that handle complex data visualizations and interactions for data discovery, data quality, and data governance. You'll work at the intersection of technical excellence and user experience, ensuring our platform maintains sub-second response times while processing large datasets.

Key Responsibilities

• Architect, build, and lead the development of high-performance web applications with a focus on scalability and user experience
• Collaborate with product, design, and backend teams to deliver seamless user experiences
• Drive technical decisions and architecture choices that enable rapid product iteration while maintaining system reliability
• Establish performance metrics and optimization strategies for complex data visualizations and interactions
• Mentor and guide a team of engineers, fostering best practices in code quality, testing, and performance optimization
• Lead code reviews and technical discussions to ensure high-quality implementation

Required Qualifications

• 8+ years of full-stack engineering experience, with at least 3 years in a technical leadership role
• Proven track record of building and scaling consumer-facing web applications that handle significant user traffic
• Deep expertise in React, TypeScript, a JS testing framework (cypress, enzyme, react-testing), and modern frontend architecture patterns
• Strong experience with performance optimization, including code splitting, lazy loading, and state management
• Expertise in GraphQL and frameworks like Apollo, with experience optimizing query performance and caching strategies
• Experience with real-time data visualization and complex UI interactions
• Strong background in building and maintaining microservices architecture
• Track record of leading architectural decisions and technical initiatives
• Experience mentoring engineers and driving technical excellence within teams
• Familiarity with tools in the modern data and ML ecosystem

Preferred Qualifications

• Experience working with DataHub is a huge plus!
• Previous experience at an early stage startup
• Knowledge of data governance and security best practices
• Track record of implementing data quality frameworks
• Contributing to open-source projects

If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you!

Location and Compensation

Bay Area (hybrid, 3 days in Palo Alto office)

Salary Range: $225,000 to $300,000