Why Big Tech Wins at Data Engineering (And Why Others Struggle)

I still remember my first days as a Data Engineer at Meta. I came expecting the highest code standards – a perfect codebase. A blueprint. And I did get one. But it looked radically different from the textbook version.

Don’t get me wrong – neither organization is perfect. Big Tech carries plenty of architectural and cultural dirt under the hood. Yet despite this, there is a reason why they excel operationally compared to many traditional enterprises.

In this talk, we’ll uncover the structural, cultural, and execution patterns that separate high-performing data organizations from mediocre ones. Drawing on real-world experiences across small tech startups, legacy corporations, and Big Tech giants like Meta, I’ll share what actually drives engineering impact – and what non-Big Tech teams can start adopting tomorrow.