Matillion Delivers AI-Powered Data Engineering on Snowflake, Reducing Infrastructure Costs and Analyst Workload
Matillion, a data integration software company, reduced engineering bottlenecks and manual workload by deploying Maia, an agentic AI data engineer built on Snowflake's AI Data Cloud.
Value Results Summary
Matillion is a data integration platform enabling organizations to build and manage data pipelines efficiently. The company faced a critical challenge: data engineering is inherently time-consuming, complex, and repetitive, creating bottlenecks that delay time-to-insight and force data teams to spend resources on routine tasks rather than strategic work. To address this, Matillion developed Maia, an agentic AI tool built on Snowflake's AI Data Cloud, that autonomously designs, builds, optimizes, and maintains data pipelines using natural language requests. The solution leverages Snowflake Cortex AI capabilities, including Cortex Sentiment and Cortex Search, to deliver production-ready pipelines without manual engineering effort.
Matillion also migrated its own data estate to Snowflake, implementing a unified architecture that serves departments across sales, finance, product development, and engineering. By complementing Maia with Snowflake Intelligence, the company created an end-to-end AI workflow that combines automated data engineering with self-service analytics. The results have been substantial: Matillion achieved ~40% lower infrastructure costs by eliminating the need for dedicated specialist resources to manage data architecture, and realized the equivalent of 50% reduction in analyst workload through Snowflake Intelligence, which allows non-technical users to interrogate data through natural language queries via Slack. Snowflake Intelligence has enabled new use cases, including comparing usage patterns across segments without analyst delays and surfacing upsell opportunities through customer consumption analysisโall without turnaround time.
Matillion's implementation demonstrates the future of data work: combining agentic AI engineers with AI analysts creates a completely scalable, end-to-end data platform that eliminates bottlenecks. By automating ingestion, transformation, orchestration, testing, and deployment, Maia enables non-experts to build pipelines and allows data engineers to redirect effort from repetitive work to high-value innovation. Matillion plans to continue its partnership with Snowflake to explore additional agentic AI applications, further automating data workflows and ensuring trusted data reaches the teams that need it. This transformation reduces manual engineering work significantly, allowing smaller teams to deliver more while controlling costs and improving organizational agility.










