Snowflake Summit 2026

​Deliver 100× data engineering output
with the same team

See it first hand at Snowflake Summit.
Book your 1:1 at Summit
Join the party
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$100-250k
saved on average per customer from cutting legacy tools
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Snowflake
Summit
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When
June 1-4, 2026
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Where
Booth  #2603
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Book
1:1 Meetings available
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“Maia offers a glimpse into the future of data engineering.”
“It’s intuitive, powerful, and feels like a real accelerant for how teams build with data. I’m excited about what this will unlock.”
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Sridhar Ramaswamy
CEO at Snowflake
Beyond the booth
At booth
On stage
Our people

Beyond the booth

See what is on our lineup at SPIN, just steps from the Moscone Center | 690 Folsom St #100, San Francisco, CA
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Maia Hands-on Lab
June 1-4  |  12-1:30pm
Register for a hands-on session with Maia and see how to 100x your team’s output.
Reserve your spot
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After the Keynote Social
June 1  |  6:30-8:30pm
After the keynote, join Maia at SPIN for drinks, light bites, and good company. Save your spot.
Reserve your spot
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The Hive Fest
June 2  |  7pm
Close out Day 2 of Snowflake Summit at The Hive Fest at SPIN, just steps from Moscone.
Reserve your spot

At booth

Visit our booth for live demos and hands-on sessions with Maia by Matillion, the AI Data Automation platform. See how teams are removing the data bottleneck and freeing up 12,000+ hours.
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What's Going On
Can you beat Maia?
On demand
Take the Maia challenge. Bring us your ugliest pipeline and watch Maia handle it.
Maia Demos
Book your spot
Take a 1:1 demo and see how Maia understand, builds, and operates your data infrastructure end-to-end.
Book your 1:1 at Summit
Theatre sessions
Every 20 mins
Watch a live Maia demo and see how to 100x your team’s output.

Catch us on stage

8:47am request. 9:30am production. Agentic data teams on Snowflake.
ABOUT THE SESSION
8:47am, Monday. Your analyst Slacks: can we get active-customer churn by tier for the board deck at 10? In most data teams, that’s a sprint ticket. For a team running Maia on Snowflake, it’s live by 9:30.

This session walks through a day in the life of a data engineer who moves from request handler to operator. Maia reads Snowflake schemas, dbt models, and team context, so “active customer” means what finance means. It handles urgent requests, clears Jira backlog, converts PowerCenter to Snowflake-native ELT, and hands governed data products to Cortex and Snowflake Intelligence.

Live build. Proven at Cisco, Docusign, and Mercedes F1.
Jun 3 | 1:30 pm ET
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Mia McMillan
Senior Product Manager
Matillion
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Cyril Sonnefraud
Principal Product Manager
Matillion
From star schema to Snowflake Intelligence in two Jira tickets.
ABOUT THE SESSION
Your raw data is in Snowflake. Your stakeholders want answers from Snowflake Intelligence. Between those facts sits the delivery problem: a dimensional model and semantic layer to configure.

This session shows both delivered, via JIRA tickets.The first carries the model spec. Maia maps it to your raw schema and conventions, then generates and deploys the ELT pipelines in Snowflake. The second specifies how the model surfaces in Snowflake Intelligence. Maia deploys the semantic layer Cortex Analyst uses for natural-language queries.Two tickets that are fully queryable. No hand-coded logic or sprint negotiation.
June 3  |  4:00pm
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Matt Farmer
Director of Product
Matillion
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Arawan Gajajiva
Principal Architect - Sales Engineering COE
Matillion
When context matters: Maia teaches Snowflake Intelligence your business
ABOUT THE SESSION
The anomaly lived for three weeks between the QBR metric definition and pipeline logic. Nobody caught it until the number was in the board pack. The alternative is Maia: a system where context builds as your team works. The Context Engine captures tribal knowledge from Slack, analyst notes, and BRDs, building context around metrics, rules, exceptions, and naming conventions.

Mission Control runs agents that monitor data movements against that context, spot mismatches, and start the investigation.We’ll show Maia catching a data movement, explaining what changed, then handing Snowflake Intelligence a structured path for deeper exploration.

June 2  |  3:30pm
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Julian Wiffen
Chief of AI and Data Science
Matillion
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Liam Morrison
Vice President, Field Engineering
Matillion
Agentic data engineering at Sophos: Moving from pilot to production with Maia
ABOUT THE SESSION
95% of AI pilots never reach production. Sophos, a billion-dollar cybersecurity company facing a large Informatica migration and growing pipeline backlog, did it in under a year using Maia. 

In this session, Enterprise Data Architect Jason Mulvin shares how his team navigated real enterprise challenges: legal and AI governance, bridging ETL gaps, and adapting dev standards for agentic tooling. The result: pipelines generated in minutes, a multi-year backlog becoming manageable — without adding headcount. What could your team achieve by next Summit?

June 1  |  1:30pm
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Jason Mulvin
Director, Enterprise Data and Analytics
Sophos
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Joe Herbert
Principal Solution Architect (Maia)
Matillion

Who you will meet

Some of our best people will be at Snowflake Summit. Here's who you'll find on the floor and at SPIN.
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Matthew Scullion
CEO
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Ed Thompson
CTO
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Frank Weigel
CPO
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Tim O'Neil
CRO
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Mark Johnston
CMO
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Joe Herbert
Principal Solution Architect
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Angie Hastings
Sr. Solution Architect
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Zach Ennis
Sr Solution Architect
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Mike Harms
Manager, Field Engineering
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Cryril Sonnefraud
Principal Product Manager
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Mike Terrell
Sales Engineer
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Julian Wiffen
Chief of AI & Data Science

Your Snowflake investment is only as good as the pipelines feeding it

Most data teams are stuck in a cycle: requests pile up, engineers burn down the backlog manually, deployments slip. Every new AI initiative joins the queue. And the queue never gets shorter.
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The setup tax
Pipeline configuration still takes days, not hours
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Downstream damage
Bottlenecks slow down every analytics and AI project that depends on clean data
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Always behind
Deployment cycles lag behind business demand
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No time left
Governance and documentation fall behind because there's simply no time

Your Snowflake pipelines shouldn’t need a team of engineers to keep them running

Maia designs, builds, and operates them autonomously,  so your data team can focus on what actually moves the business. See it live at Summit.
Book a 1:1 at Summit

Your agentic AI data team — native to Snowflake

Where copilots suggest, Maia acts. It reasons, plans, and executes complex data engineering tasks end-to-end — designing, building, testing, documenting, and operating production-grade pipelines at machine speed, with governance built in.

Built into the Data Productivity Cloud, Maia works natively with Snowflake — adapting dynamically to schema or source changes, applying enterprise controls automatically, and integrating seamlessly with Snowflake features including Snowpark, Cortex, and AI Data Services.
From Request to Live in Four Steps
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Request

One prompt, capture your business requirements.
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Maia plans

Reviews your data. Proposes the plan.
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Maia builds & test

Pipeline built and validated. PR ready.
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Live in Snowflake

Production-grade, AI-ready data.
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Autonomous execution
Plans, builds, and runs pipelines end-to-end
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Enterprise governance
Security, lineage, and compliance applied automatically
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Snowflake-native speed
Processes, deploys, and scales inside your Snowflake account

Built for what data teams actually need

Most platforms solve part of the problem. Maia covers all of it — from first request to production-grade pipeline, without the bottlenecks.
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Scale without headcount

Maia augments human expertise with autonomous execution — designing, building, testing, and operating production-grade pipelines at machine speed, helping organizations increase delivery capacity without increasing headcount.
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One platform, not a patchwork

The Data Productivity Cloud unifies data integration, transformation, orchestration, and monitoring in a single platform. Combined with Snowflake's native scalability, customers replace fragmented tooling with a governed, seamless experience.
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From backlog to production — in days

With Snowflake as the foundation and Maia embedded within Matillion, customers move from proof-of-concept to production in days, not months. Engineering teams accelerate pipeline delivery by up to 10×, enabling AI and analytics initiatives to launch on schedule.

Your Snowflake pipelines shouldn’t need a team of engineers to keep them running

Maia designs, builds, and operates them autonomously,  so your data team can focus on what actually moves the business. See it live at Summit.
Book a 1:1 at Summit

Data professionals love Maia

Maia automates manual data work for teams at global enterprises and fast-growing startups alike.
“Maia is helping us become an AI-ready organization by transforming how we build pipelines. In some cases we’ve seen pipeline build time go from 2 days to 10 minutes.”
John Tentomas
CEO Nature’s Touch
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Roberto Lara
VP of Digital Transformation & Analytics
Precision Medicine Group
“The biggest impact of Maia is our data engineers embracing it and helping us work smarter, not harder.”
Ammad Baig
Director of Enterprise Data & AI Services
Precision Medicine Group
"Maia is like having an autonomous data engineering team in digital form. It handles everything from legacy ETL migrations to building complex, production-ready pipelines at machine speed, and the quality of the logic is something we can trust. It’s dramatically accelerating our workflow while reducing the manual overhead."
Global Head of Data Transformation
"With Maia, our teams no longer wait in queues for data. Business users are self-serving insights securely, and our engineering team is now focused on strategy, not support. It’s the first real GenAI platform that understands our data reality."
Chief Data Officer
Insurance Company
This is a reimagining of data engineering and ETL - we’re rethinking what’s possible. With Maia, our analysts can build and debug complex pipelines using natural language, whether in the UI or directly in SQL and Python. It’s incredible to see non-engineers creating production-ready workflows without relying on our dev team.
“Maia replaced thousands of hours of manual work, helped us de-risk audits, and let business teams generate insights in days instead of months. It’s the first AI investment that delivered value fast.”
Group CFO
Global Financial Services Firm
"Maia feels like having a team of junior data engineers who never sleep. We’re a small team, but with Maia we’re punching well above our weight."
Dan Adams
Global Analytics Manager @ Edmund Optics
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Built for Snowflake, Backed by Snowflake

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Snowflake Marketplace
Deploy in minutes, funded through your existing Snowflake commitment
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Snowflake Ventures
Strategic investment, not just partnership
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​Native integrations
Snowpark, Cortex, AI Data Services, OpenFlow extension