Matillion, a leader in intelligent data integration, has announced the launch of Maia, an innovative team of agentic AI data engineers designed to eliminate the manual burdens of data engineering and make advanced data capabilities accessible to users across skill levels.
Introduced at Snowflake Summit 2025, Snowflake’s flagship user conference, Maia enhances productivity by generating complex, end-to-end data pipelines using simple natural language prompts. This empowers both experienced professionals and less technical users to move faster and more efficiently across the data lifecycle.
“Data engineering is centered on repetitive work that is important, but often gritty and sometimes boring. Imagine what could be achieved if the heavy-lifting of that gritty work was taken away so data engineers could focus instead on driving real business value and impact. That is exactly what Maia does – data engineering at the speed of thought,” said Matthew Scullion, co-founder and CEO of Matillion.
Purpose-built for cloud data and AI environments, Maia complements Matillion’s Data Productivity Cloud by streamlining the entire data engineering process. It goes beyond simple code generation to support ingestion, transformation, orchestration, data quality, DataOps, management, and more — all within one AI-augmented system.
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“Maia takes AI capabilities in data engineering far beyond generating code, working end-to-end across the full workflow of data engineering, including ingestion, transformation, orchestration, data quality, DataOps, management and beyond.”
Maia is engineered to work seamlessly within the Snowflake ecosystem, ensuring speed, reliability, and security at enterprise scale. Soon available through Snowflake Marketplace, Maia will offer a frictionless and scalable solution for organizations looking to unlock greater data value while reducing technical bottlenecks.
“Maia allows joint Matillion and Snowflake users to do more with their data and AI, regardless of their technical capabilities,” said Kieran Kennedy, VP, Data Cloud Products, Snowflake. “Its architecture means that the technology is trusted by design, providing users peace of mind alongside significant productivity gains. We look forward to seeing how users harness Maia to boost data productivity and free up data engineers to innovate and ideate.”
In addition to supporting existing data teams, Maia also enables other AI agents to request and trigger data pipelines autonomously, further extending its ability to meet evolving business needs with agility and intelligence.
