Atlan is an active metadata platform crafted for data teams that integrates metadata from diverse sources.
This company operates with a remote-first culture, allowing team members to work from anywhere.
Atlan is pioneering the context layer for data and AI, transforming how enterprises utilize their data for artificial intelligence. Today, most AI initiatives falter because AI systems lack crucial context about data's meaning, governance, and proper usage. Atlan solves this by acting as a virtual hub, unifying data assets like tables, dashboards, models, and code. This creates a single source of truth for your data and fosters collaboration across the entire modern data stack. Their platform deeply integrates with tools like Slack, data warehouses such as Snowflake and Redshift, and BI tools like Looker and Tableau. Atlan has been recognized as a Cool Vendor in DataOps by Gartner and a Leader by both Gartner and Forrester in enterprise data catalogs, metadata management, and governance. They are trusted by global enterprises including Mastercard, Workday, General Motors, Unilever, Ralph Lauren, FOX, Nasdaq, and Medtronic.
Atlan cultivates a global, remote-first, high-trust environment with team members across 15+ countries. They foster an AI-native culture where artificial intelligence is woven into daily work and empowers employees. This means you can expect a bias for action, a focus on solving problems, and a commitment to continuous improvement. The company emphasizes strong individual ownership with a larger accountability to the team, customers, and mission. They value clear communication, both written and visual, and believe in providing constructive feedback across all levels. Atlan promotes a culture where growth is a product of collaboration and mutual support, leading to an environment where everyone helps each other succeed.
Atlan's engineering team tackles complex challenges at the intersection of data and AI. They build foundational platform services like APIs, infrastructure components, and ingestion frameworks that operate at enterprise scale. Engineers architect a context store that transforms lakehouse infrastructure into AI-ready systems with multimodal capabilities, handling structured, unstructured, vector, and graph data. They solve complex multi-tenant isolation and scaling problems for enterprise SaaS, ensuring 99.99% availability for systems handling billions of assets and serving over 100,000 users. The team drives technical standards through RFCs, architecture reviews, and documentation, fostering a culture of continuous learning and improvement. Atlan actively uses AI-assisted development tools and encourages engineers to pioneer new AI-native development practices, embedding security into developer workflows and automating security reviews. They focus on automating repetitive tasks and building robust systems to eliminate recurring issues, rather than just filing tickets.