Full-Stack Engineer

1 Month ago • 8 Years + • Full Stack Development • $225,000 PA - $300,000 PA

Job Summary

Job Description

DataHub is an AI & Data Context Platform used by over 3,000 enterprises, with a strong open-source community. The platform provides in-depth context of AI and data assets with scalability and extensibility. DataHub Cloud is a managed solution offering AI-powered discovery, observability, and governance. The role involves architecting and driving the development of a high-performance, consumer-grade data platform. Key responsibilities include building scalable, responsive applications, collaborating with cross-functional teams, driving technical decisions, establishing performance metrics, and mentoring engineers. The company is experiencing rapid growth in the context platform market.
Must have:
  • 8+ years full-stack engineering experience
  • 3+ years in technical leadership
  • Building/scaling consumer-facing web apps
  • React, TypeScript, JS testing framework
  • GraphQL and Apollo expertise
  • Microservices architecture experience
  • Mentoring engineers
Good to have:
  • Experience with DataHub
  • Early-stage startup experience
  • Data governance/security knowledge
  • Data quality frameworks implementation
  • Open-source contributions
Perks:
  • Competitive compensation
  • Equity for everyone
  • Hybrid work
  • Location flexibility with coworking stipend
  • Comprehensive health coverage (99% for employees)
  • Flexible savings accounts
  • Inclusive fertility and family-forming benefits
  • Unlimited PTO and sick leave

Job Details

DataHub is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.

The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value 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 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

Benefits and Perks

We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth.

Competitive compensation

We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it.

Equity for everyone

Every team member receives an ownership stake in the company. When we grow, you grow with us.

Hybrid work

This is a hybrid role with the expectation that you will work from our Palo Alto office a minimum of three days per week.

Location flexibility

Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time.

Comprehensive health coverage

Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents.

Flexible savings accounts

We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs.

Support for every path to parenthood

Through Carrot Fertility, we provide inclusive fertility benefits and family-forming support. All U.S. employees have access, regardless of age, gender identity, or family structure.

Time off that works for you

We trust you to take the time you need. Our unlimited PTO and sick leave policy is designed for flexibility, rest, and real life.

 

Why Join Us

DataHub is at a rare inflection point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way.

By joining our team, you’ll:

  • Tackle high-impact challenges at the heart of enterprise AI infrastructure
  • Ship production systems that power real-world use cases at global scale
  • Collaborate with a high-caliber team of builders who’ve scaled some of the most influential data tools in the world
  • Build the next generation of AI-native data systems, including conversational agents, intelligent classification, automated governance, and more

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!

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About The Company

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

Palo Alto, California, United States (Hybrid)

United States (Hybrid)

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