About the job
At acryldata, we are proud to present DataHub, an innovative AI and Data Context Platform that has been embraced by over 3,000 enterprises, including industry leaders like Apple, CVS Health, Netflix, and Visa. Our platform, developed in collaboration with a vibrant open-source community of over 13,000 contributors, offers a comprehensive metadata graph that delivers unparalleled context for AI and data assets, boasting exceptional scalability and extensibility.
Our enterprise SaaS solution, DataHub Cloud, provides a fully managed service equipped with AI-powered discovery, observability, and governance functionalities. Companies leverage DataHub's capabilities to expedite the realization of their data investments, assure AI system reliability, and establish cohesive governance, enabling seamless integration between AI and data management to combat data chaos.
In this role, you will:
- Enhance our Python-based ingestion framework to efficiently capture usage statistics, lineage, and operational metadata from platforms such as Snowflake, Redshift, Kafka, and more!
- Develop connectors for key systems within modern data and machine learning stacks.
- Facilitate the ingestion framework's operation in a cloud-native environment.

