AI-powered self-service data management and governance platform
Data Dynamics builds self-service data management software (ZUBIN) for enterprise governance, risk, and compliance use cases. The tech stack is polyglot (Java, Python, C#) across cloud infrastructure (AWS, Azure, GCP) with heavy emphasis on ML tooling (TensorFlow, PyTorch, MLflow, Kubeflow, SageMaker) and observability (New Relic, Dynatrace). Active project work centers on DevOps infrastructure and CI/CD automation, while pain points cluster around scaling, API performance, and compliance — suggesting the product is moving from early adoption toward production workloads at larger enterprises.
Data Dynamics is a privately held enterprise data management company founded in 2012, headquartered in Upper Saddle River, New Jersey. The company operates ZUBIN, a low-code self-service platform designed to give non-technical business users direct control over data discovery, governance, privacy, and security tasks — reducing dependency on data engineering teams. The customer base spans over 300 organizations globally, with significant penetration in Fortune-tier companies. The engineering team is senior-heavy and concentrated in India, working on infrastructure, pipeline automation, and DevOps frameworks to handle scaling challenges and compliance requirements across multi-cloud deployments.
Java, Python, C#/.NET, PostgreSQL, Elasticsearch, TensorFlow, PyTorch, MLflow, Kubeflow, and SageMaker across AWS, Azure, and GCP. Also uses Kafka, Docker, Kubernetes, and observability tools like New Relic and Dynatrace.
Upper Saddle River, New Jersey. The company was founded in 2012 and operates as a privately held enterprise software firm with 51–200 employees.
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