Full-Time
Software Engineer
Confirmed live in the last 24 hours
Acryl Data
11-50 employees
Metadata platform for data management and observability
Mid, Senior
Remote in USA
- 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
- 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
Acryl Data offers a metadata platform called Acryl Cloud that helps businesses manage and understand their data by combining a data catalog with data observability features. The platform detects data quality issues in real-time and automates anomaly detection, ensuring that information is accurate and up-to-date. What makes Acryl Data different is its focus on automated metadata testing and clear asset ownership, which simplifies identifying and resolving data problems. The company's goal is to empower organizations to utilize their data more effectively through enhanced visibility and collaboration.
Company Stage
Series A
Total Funding
$20.4M
Headquarters
Santa Clara, California
Founded
2021
6 month growth
↑ 0%1 year growth
↑ 5%2 year growth
↑ 65%
Simplify's Take
What believers are saying
- Growing demand for data observability tools enhances Acryl Data's market potential.
- Collaboration with open-source communities accelerates innovation and development.
- Rising adoption of automated anomaly detection boosts operational efficiency for clients.
What critics are saying
- Increased competition from AI-driven solutions may threaten Acryl Data's market position.
- Dependency on open-source projects poses risks if community directions change.
- Rapid technological advancements require continuous innovation to remain competitive.
What makes Acryl Data unique
- Acryl Data leverages LinkedIn DataHub and Apache Gobblin for robust metadata management.
- The platform offers real-time data quality monitoring and automated anomaly detection.
- Acryl Cloud supports both push-based and pull-based metadata ingestion for up-to-date information.
Help us improve and share your feedback! Did you find this helpful?