Fast-scaling companies operate under the same pressures that create enterprise technical debt — limited budget, limited headcount, and constant pressure to grow. The difference is intent. Drawing on the experience of building the data foundation for an AI SaaS product from scratch — modular, event-driven, self-serve by design — this talk shares what stayed deliberate under pressure and what didn’t. Enterprise data leaders leave with a practical model for building scalable architecture without the rewrite, and a way to spot where their current setup is already working against them.