Ataccama builds a consolidated data governance and quality platform designed to support enterprise AI initiatives. The stack reflects a modern cloud-native architecture (Kubernetes, AWS EKS, GitLab CI/CD, Terraform) paired with data infrastructure tools (Snowflake, Aurora), and the hiring velocity is accelerating — but the composition is notable: marketing and sales roles dominate the open pipeline, while engineering hires remain sparse, indicating a sales-led growth phase focused on market expansion rather than product velocity.
Ataccama provides a unified data trust layer combining data quality, governance, lineage, master data management, and observability into a single platform called Ataccama ONE. The company targets large enterprises managing complex data estates and building AI applications, where data reliability directly impacts regulatory compliance and decision confidence. Founded in 2007 and headquartered in Boston, Ataccama operates across the US, UK, Canada, Czechia, and Australia. The product includes an agentic AI component designed to automate data steward workflows — identifying quality issues, generating rules, and resolving problems across distributed data infrastructure.
Ataccama runs on AWS (EKS, Aurora, IAM), Kubernetes orchestration with ArgoCD, GitLab CI/CD for deployment, and Terraform for infrastructure-as-code. On the data side: Snowflake, Amazon MQ messaging, and Keycloak for identity. Backend services use Java, Kotlin, and Python.
Boston, MA. The company hires across Czechia, United States, Canada, Australia, and the United Kingdom.
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