Full-Stack Engineer, Bay Area Hybrid

DataHub built by Acryl Data is an AI & Data Context Platform adopted by over 3000 enterprises including Apple CVS Health Netflix and Visa. Innovated jointly with a thriving opensource community of 13000 members DataHubs metadata graph provides indepth context of AI and data assets with bestinclass scalability and extensibility.

The companys enterprise SaaS offering DataHub Cloud delivers a fully managed solution with AIpowered discovery observability and governance capabilities. Organizations rely on DataHub solutions to accelerate timetovalue from their data investments ensure AI system reliability and implement unified governance enabling AI & data to work together and bring order to data chaos.

The Challenge

As AI and data products become businesscritical 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 machinescale metadata management not just humanbrowsable catalogs

The Role

Were seeking a seasoned Full Stack Engineering Lead to architect and drive the development of our highperformance consumergrade data platform. In this role youll lead the technical direction of our userfacing products focusing on building scalable responsive applications that handle complex data visualizations and interactions for data discovery data quality and data governance. Youll work at the intersection of technical excellence and user experience ensuring our platform maintains subsecond response times while processing large datasets.

Key Responsibilities

• Architect build and lead the development of highperformance 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 highquality implementation

Required Qualifications

• 8 years of fullstack engineering experience with at least 3 years in a technical leadership role
• Proven track record of building and scaling consumerfacing web applications that handle significant user traffic
• Deep expertise in React TypeScript a JS testing framework (cypress enzyme reacttesting) 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 realtime 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 opensource projects

If youre passionate about technology enjoy working with customers and want to be part of a fastgrowing company changing the industry we want to hear from you!

Location and Compensation

Bay Area (hybrid 3 days in Palo Alto office)

Salary Range: $225000 to $300000

Benefits

• Competitive salary
• Equity
• Medical dental and vision insurance (99% coverage for employees 65% coverage for dependents; USAbased employees)
• Carrot Fertility Program (USAbased employees)
• Remote friendly
• Work from home and monthly coworking space budget