2026 State of Analytics Engineering

🌐 Global friendly sessions April 29 & 30

Analytics teams are shipping faster than ever, with AI now embedded in how code gets written, tested, and deployed. At the same time, the foundations that make data trustworthy—governance, ownership, and quality—are under more pressure than ever.

AI is scaling what teams can produce faster than trust and governance can keep up. The result? More output, more pressure, higher compute costs, and more risk if the foundation isn't solid. So how are teams actually balancing speed with trust without breaking things?

Join us for a dynamic discussion with three top minds in data and analytics: Katie Bauer (Hex), Jay Sobel (Ramp), and Jason Ganz (dbt Labs) as they break down the biggest shifts shaping analytics engineering in 2026 and what they mean for your data work.

In this live virtual event, you’ll get a clear, unfiltered view into how experienced teams are navigating:

The shift from AI experimentation to everyday workflows
Where trust is breaking down—and how teams are addressing it
The tension between moving faster and maintaining control
Increasing infrastructure costs and the pressure to operate efficiently

The 2026 State of Analytics Engineering Report drops on April 14, capturing the pulse of a fast-moving ecosystem with real data. Just two weeks later, join us live on April 29 or 30 to go beyond the data and hear how leading teams are actually making sense of it, ask your questions, and walk away with a clearer plan for what to do next. We’ll also be randomly selecting a few attendees for fun giveaways as a thank-you for joining us live. 🎉