Tech Lead / Manager, Full Stack, Bay Area Hybrid

DataHub • Palo Alto, CA

200d • $225,000 - $300,000

About The Position

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.

Requirements

• 7+ years of technical expertise in frontend development with strong experience in React, TypeScript, and modern web development practices
• Experience designing and implementing RESTful APIs and GraphQL services for complex data applications
• Expert-level proficiency in Java and Spring Boot ecosystem, with experience building scalable microservices architectures
• Hands-on experience with cloud infrastructure (AWS/GCP/Azure), containerization (Docker), and familiarity with orchestration (Kubernetes)
• 3+ years of management experience with a proven track record of managing and growing engineering teams of 5-15 engineers
• Experience recruiting, interviewing, and hiring top engineering talent across multiple disciplines
• Demonstrated ability to mentor engineers and help them advance their careers
• Experience implementing engineering processes, agile methodologies, and development workflows
• Familiarity with modern data stack tools and technologies (data warehouses, ETL/ELT tools, BI platforms)
• Experience building and scaling enterprise software products with complex deployment requirements

Nice To Haves

• Understanding of data cataloging, metadata systems, data lineage, and data governance principles
• Contributions to major open-source projects or experience building open-source communities
• Previous experience at high-growth startups, particularly in the data or developer tools space
• Experience working with enterprise customers and supporting complex technical sales cycles
• Hands-on experience as a data engineer or platform engineer in data-intensive environments
• Computer Science degree or equivalent technical education

Responsibilities

• Lead technical architecture decisions for DataHub's user facing products, ensuring scalability, performance, and reliability for enterprise deployments
• Contribute directly to critical features across the full stack - Java/Spring Boot backend services, React/TypeScript frontend, and Python ingestion framework where appropriate
• Establish and maintain high standards for code quality, testing, and documentation across multiple programming languages and frameworks
• Establish performance metrics and optimization strategies for complex data visualizations and interactions
• Hire, onboard, and mentor world-class engineers while fostering a collaborative, inclusive engineering culture
• Conduct regular 1:1s, performance reviews, and create individual development plans aligned with company goals
• Implement engineering processes, workflows, and best practices while ensuring teams deliver high-quality features on time
• Oversee regular releases, comprehensive testing strategies, and incident response for both open-source DataHub and enterprise offerings
• Work closely with Product Management to translate business requirements into technical solutions and realistic delivery timelines
• Collaborate with Customer Success and Sales Engineering teams to understand enterprise customer needs and address technical questions
• Contribute to the open-source DataHub community through technical discussions, code reviews, and architectural decisions

Benefits

• Competitive salary
• Equity
• Medical, dental, and vision insurance (99% coverage for employees, 65% coverage for dependents; USA-based employees)
• Carrot Fertility Program (USA-based employees)
• Work from home and monthly co-working space budget

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees