Description:

Acryl Data is the company behind DataHub, the leading open-source metadata platform, originally developed at LinkedIn.
DataHub has grown into the largest open-source metadata community with over 12,000 data practitioners and deployments across 3,000+ organizations worldwide.
The company provides enterprise-grade data catalog and observability solutions through DataHub Cloud, enabling seamless data discovery, robust data observability, and federated governance across organizations' entire data ecosystem.
The role is for a seasoned Full Stack Engineering Lead to architect and drive the development of a high-performance, consumer-grade data platform.
The engineer will lead the technical direction of user-facing products, focusing on building scalable, responsive applications that handle complex data visualizations and interactions for data discovery, data quality, and data governance.
The position requires ensuring the platform maintains sub-second response times while processing large datasets.

Requirements:

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

The position offers a competitive salary.
Employees will receive equity as part of their compensation.
There is 99% coverage of medical, dental, and vision insurance for US employees.
Benefits include Carrot Fertility and Family Planning support.
The company is remote-friendly, allowing for flexible work arrangements.
Employees receive a monthly co-working salary.
A one-time home office budget is provided to support remote work setups.