Full-Time
Software Engineer
Confirmed live in the last 24 hours
Acryl Data
11-50 employees
Metadata platform for data management and observability
Mid
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 effectively. The platform detects data quality issues in real-time and automates anomaly detection, ensuring that data remains accurate and up-to-date. What makes Acryl Data different is its focus on automated metadata testing and clear asset ownership, which aids in identifying insights and improving data quality. The goal is to enhance data clarity and usability for a wide range of clients, from technical teams to businesses monitoring their data health.
Company Stage
Series A
Total Funding
$30M
Headquarters
Santa Clara, California
Founded
2021
6 month growth
↑ 2%1 year growth
↑ 25%2 year growth
↑ 95%
Simplify's Take
What believers are saying
- The recent $21M funding round provides AcrylData with the financial resources to accelerate growth and innovation.
- Partnerships with industry leaders like LinkedIn enhance AcrylData's credibility and expand its influence in the data management sector.
- The launch of Acryl Observe adds advanced data observability capabilities, making the platform more comprehensive and attractive to potential clients.
What critics are saying
- The competitive landscape in data management is intense, requiring AcrylData to continuously innovate to maintain its edge.
- Reliance on a subscription or usage-based pricing model may lead to revenue fluctuations based on client usage patterns.
What makes Acryl Data unique
- AcrylData's platform uniquely combines a top-tier data catalog with real-time data observability, setting it apart from competitors who may focus on one or the other.
- The use of automated Metadata Tests for continuous data insights and improvement is a distinctive feature that enhances data quality and reliability.
- Their support for both push-based and pull-based metadata ingestion ensures that data is always trustworthy and up-to-date, unlike competitors who may only support one method.
Help us improve and share your feedback! Did you find this helpful?