Matillion introduces Maia, agentic AI data engineers, to automate complex data pipelines, boosting productivity and enabling less technical users at Snowflake Summit.
Intelligent data integration platform Matillion announced the launch of Maia, a team of agentic AI data engineers. By handing off the hard manual work, Matillion will end data engineering frustrations while opening data work up to new users with less technical skills.
Maia is a team of agentic AI data engineers that augment the work of data professionals today, covering the entire data engineering workflow.
Launched at Snowflake’s annual user conference, Snowflake Summit 2025, Maia agents quickly and easily create complex end-to-end data pipelines from natural language prompts, simultaneously enabling less technical users and accelerating data engineering projects.
“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, Matillion.
Also Read: Why Are Most Companies Falling Short on Data Resilience?
“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.”
Like Matillion’s flagship Data Productivity Cloud, Maia is built for cloud data and AI, ensuring trust, speed and scale. Soon to be available through Snowflake Marketplace, Maia and Data Productivity Cloud deliver the easy, trusted and connected experience of Snowflake within the cloud giant’s ecosystem.
Also Read: Why Voice AI Needs Smart Regulation, Not Delays
“Maia allows joint Matillon 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.”
Alongside giving data teams their own team of AI data engineers, Maia goes a stage further, enabling other agents to request data pipelines for specific business needs automatically.
Matillion first introduced its AI offering in 2023, with further launches throughout 2024, including integrations with Snowflake Cortex AI and Snowpark Container Services.
