How Tomorrowland Keeps Data Simple While Scaling Globally
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Wannes Rosiers & Kris Peeters
Why simple data platforms outperform complex stacks, and how AI changes delivery without changing the fundamentals.
Every year, data teams adopt new technologies promising faster delivery, better governance, and smarter AI. Yet many organisations still struggle with the same challenges they faced a decade ago.
In this episode of The Data Playbook, Kris Peeters speaks with Wannes Rosiers, Head of IT & Development at WEAREONE.world, the company behind Tomorrowland.
Together they discuss why many modern data platforms have become unnecessarily complex, why most organisations solve the same data problems with increasingly complicated technology, and how engineering teams can move faster by keeping their architecture simple.
The conversation covers practical lessons from running data and software engineering across multiple business units, supporting rapidly growing digital products, and preparing organisations for AI without rebuilding everything from scratch.
Topics include:
Why simple architectures often outperform complex data stacks
Building products with data as a first-class citizen
Applying Data Mesh principles in organisations that are still growing
How AI changes software delivery without changing the fundamentals of data
Choosing technologies that maximise delivery speed instead of technical novelty
Preparing data platforms for conversational AI and agentic workflows
Balancing rapid innovation with stability for customer-facing products
If you lead data teams, design enterprise data platforms, or make technology decisions, this episode offers a practical perspective on building systems that remain easy to maintain while supporting long-term growth.
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How Tomorrowland Keeps Data Simple While Scaling Globally
Why simple data platforms outperform complex stacks, and how AI changes delivery without changing the fundamentals.



