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
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $9M Seed Round on 2021-06
Software Engineer
September 17, 2024
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
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
💰 $9M Seed Round on 2021-06
📋 Description
• Enhance the Python based ingestion framework to support ingesting usage statistics, lineage and operational metadata from systems like Snowflake, Redshift, Kafka, & more! • Build connectors for major systems in the modern data and ML stacks • Enable the ingestion framework to run in a cloud native environment
🎯 Requirements
• Minimum 4 years of engineering experience • Expertise in Python • Familiarity with tools in the modern data and ML ecosystem • Knowledge of distributed systems • Ability to design for scale and fault tolerance
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