This session explores the evolution from centralized data lakes to domain-oriented data mesh architectures through the lens of large-scale enterprise platform transformation. It highlights how data mesh shifts accountability to domain teams by treating datasets as well-defined data products, with explicit ownership for quality, reliability, and cost stewardship. By aligning technical ownership with financial responsibility, organizations can better manage spend while enabling faster, more autonomous decision-making.
The discussion examines the role of self-serve data platforms as a key enabler standardizing infrastructure, governance, and observability while empowering domain teams to optimize usage and control costs within shared architectural guardrails. Federated computational governance is presented as a scalable alternative to centralized oversight, embedding security, compliance, and cost controls directly into platform capabilities rather than relying on manual enforcement. Attendees will leave with practical insights into how data mesh can support FinOps objectives by improving cost transparency, ownership clarity, and sustainable scalability in enterprise data ecosystems.