Data Engineering + AI Leadership Summit 2026

This is an invite-only event. Only guests with approved registrations will be allowed entrance. We do not accept walk-in attendees.

🚨 Read Before You Apply: Only these breakout sessions still have seats for new attendees (other sessions are at capacity): 2:35–3:25 PM: How Should We Build Open Standards for Data & AI? 3:30–4:20 PM: What Comes Next in Open Storage to Support AI Workloads 4:25–5:15 PM: What Does It Take to Build Agentic Factories Beyond Code? OR Customer-Facing Analytics, Now With Agents: What’s Worth Building?

Join data, engineering, and AI leaders for open, candid discussions on the pressing challenges in modern organizations. Visit the official website for more information. Who Should Attend Staff+ Engineers Engineering Managers Directors & VPs Heads of Data & AI Open Source Maintainers Technical Founders & CTOs Program Committee The program is curated by our Program Committee. Please look forward to the opportunity to connect with them at the event: Chris Colburn, Director, Data Engineering @ OpenAI Jerry Wang, Principal Data Software Engineer @ Google DeepMind Michelle Winters, Founder @ Global Organization of Open Data Nathan Towery, Senior Director of Data Engineering @ Meta Paul Ellwood, Head of Data Engineering @ OpenAI Xinran Waibel, Head of Data Engineer Things Community How Registration Works Attendance is limited and carefully curated. To apply, complete the registration form and share a few details about yourself. If your registration is approved, you will receive a confirmation email in 1-2 weeks. Agenda See the full agenda on our website. Sponsors Thank you to our sponsors for making this community event possible. Interested in sponsoring? Let us know here.

Payment When you submit your application, Luma will place a temporary hold on your payment method. You will not be charged unless your application is approved. Contact If you have any questions, please email deals@dataengineerthings.org.

ℹ️ About Data Engineer Things Data Engineer Things (DET) is a global community built by data engineers for data engineers. Subscribe to our newsletter and follow us on LinkedIn to gain access to exclusive learning resources and networking opportunities, including articles, webinars, meetups, conferences, mentorship, and more.