Full-Stack Engineer

December 13, 2024

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Logo of Acryl Data

Acryl Data

Acryl Data is the company behind DataHub, the leading open-source metadata platform designed to manage and govern data and AI. With a strong community of over 11,550 contributors, Acryl Data aims to become the gold standard in data and AI governance by providing reliable and compliant solutions. The company has emerged from a history of innovation at LinkedIn and has gained support from prominent investors like 8VC and LinkedIn itself. Acryl Data focuses on creating a metadata-driven control plane for data, delivering valuable insights from data leaders, and partnering with world-class companies to bring order to data chaos.

11 - 50 employees

Founded 2021

πŸ€– Artificial Intelligence

🏒 Enterprise

☁️ SaaS

πŸ’° $9M Seed Round on 2021-06

Description

β€’ Acryl Data is seeking a Full Stack Engineering Lead for their high-performance data platform. β€’ Lead technical direction for user-facing products focusing on scalability and user experience. β€’ Ensure sub-second response times while processing large datasets through complex data visualizations.

Requirements

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

Benefits

β€’ Competitive salary β€’ Equity β€’ 99% coverage of medical, dental and vision insurance for US Employees β€’ Carrot Fertility and Family Planning β€’ Remote friendly β€’ Monthly co-working salary β€’ One-time home office budget

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