Full-Time
Posted on 6/3/2025
Unified data management platform with AI
No salary listed
London, UK
Hybrid
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Ataccama provides a unified data management platform that uses AI and smart automation to transform raw data into reusable data products for teams. The platform handles data classification, data quality, and data governance across any data source, and works in both cloud and on-premise environments. It is designed to be easy to deploy for large enterprises, helping business and technical users manage big data efficiently. Unlike tools that focus on a single aspect of data, Ataccama combines multiple data-management functions into one platform and emphasizes turning data into shareable assets that teams can reuse. Its goal is to help enterprises quickly improve data quality and governance while delivering fast return on investment through its platform and related services (implementation and support).
Company Size
201-500
Company Stage
Growth Equity (Venture Capital)
Total Funding
$152M
Headquarters
Toronto, Canada
Founded
2007
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Health Insurance
401(k) Company Match
Life Insurance
Long-term Disability Insurance
Employee Assistance Program
Long-Term Incentive Program
Paid Sick Leave
Paid Vacation
Unlimited Paid Time Off
Global Family Support Program
Flexible Work Hours
Conference Attendance Budget
Online courses
Mental Health Support
Ataccama has launched Agentic Data Observability within its Ataccama ONE platform, extending its data quality capabilities into pipeline monitoring and incident workflows. The release unifies observability with automated data quality and governance, addressing gaps left by standalone data observability tools. The platform monitors pipelines across orchestrators including dbt, Airflow, Dagster, Azure DataFactory and AWS Glue to detect failures during transformation. It provides unified alerting with business context, lineage-driven impact analysis connecting technical failures to business assets, and resolution tracking with Jira integration. Powered by the ONE AI Agent, the system links issues to business impact, ownership and remediation workflows in a single interface. This enables enterprises to identify problems early and restore data trust before flawed information reaches reporting, risk models or AI systems. The launch aims to support regulated enterprises maintaining data integrity across complex data estates.
Ataccama, a data trust company, reported record customer growth in Q4 2025, closing the year with a 30% compound annual growth rate over three years. The company signed over 30 deals worth $1 million or more in 2025, with 75% of new Q4 customers adopting its generative AI capabilities in production workflows. The growth reflects enterprises' shift towards treating data integrity as infrastructure for AI systems. In November, Ataccama launched its Agentic ONE platform, which helps organisations write data quality rules, detect issues and remediate problems across distributed environments. Partner-sourced pipeline grew 40% in 2025, whilst average annual recurring revenue per customer rose 16%. CEO Mike McKee said the results show enterprises moving from centralised data teams towards agile, federated approaches as AI adoption accelerates.
The Forrester Wave(TM): Data Quality Solutions, Q1 2026. January 28, 2026 1 min. read Ataccama recognized as a Leader in Forrester's Data Quality Wave. Ataccama has been named a Leader in The Forrester Wave(TM): Data Quality Solutions (2026), validating, for Ataccama Corporation, its long-standing leadership in data quality and its role in helping enterprises prepare for the next era of AI-driven decision-making. Ataccama Corporation believe the launch of Forrester's Data Quality Wave reflects a fundamental market shift: as organizations adopt AI and agentic systems that operate autonomously, trusted, high-quality data has become mission-critical. Data quality is no longer a supporting capability - it is the foundation of AI readiness, risk management, and scalable automation. "Ataccama is ideal for enterprises that want to accelerate their AI readiness and are seeking a cloud-first, AI-driven data quality platform with strong automation and observability." Jayesh Chaurasia, Senior Analyst, Forrester Research Access the report to learn what criteria Forrester evaluates of recognized vendors in the data quality market, and why Ataccama was identified as a Leader. Forrester does not endorse any company, product, brand, or service included in its research publications and does not advise any person to select the products or services of any company or brand based on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are subject to change. For more information, read about Forrester's objectivity here. Date 28.01.2026 Please choose your communication preferences:
Ataccama Corp., an agentic data trust company, has secured a strategic investment of undisclosed size from Snowflake Ventures. The funding will deepen Ataccama's integration with Snowflake's AI Data Cloud platform and enhance trusted data delivery for enterprise AI projects. Ataccama offers the Ataccama One platform, which unifies data management with governance to ensure high-quality data for business initiatives. The platform combines data discovery, quality, cataloguing, observability, lineage and master data management capabilities into a single system that automates preparation and governance tasks across cloud, on-premises and hybrid environments. The investment aims to boost agentic reliability by improving data trustworthiness and explainability for enterprises deploying artificial intelligence solutions.
Snowflake Ventures has taken a strategic stake in Ataccama, a company focused on improving data trust within organisations. The investment builds on an existing partnership and aims to help deliver reliable, compliant data for AI applications. Ataccama specialises in "agentic data trust" and will deepen its technical integration with Snowflake, simplifying quality control processes. The company is enhancing trust signals in Snowflake Cortex AI workflows and expanding capabilities of Snowflake Horizon Catalogue, including data health monitoring. Ataccama also focuses on data quality within Snowflake's medallion architecture, which organises data across Bronze (raw), Silver (enriched) and Gold (production-ready) layers. The deal comes as organisations increasingly require robust data governance for AI applications. Financial terms of the investment were not disclosed.