Implementing the self-service data platform - Data Mesh Live 2026

Implementing the self-service data platform

FormatData Mesh Live - Talk (50min)

Implementing the self-service data platform

The self-service data platform is one of the four key principles of data mesh. It describes the infrastructure and the tooling that makes it possible for domain teams to build, publish, discover, and consume data products without relying heavily on a central data engineering team.

But what are the capabilities this platform needs to provide, and why?

But how do we build such a platform? What are the capabilities it needs to provide, and why? How do we embed data governance throughout this platform?

In this talk Andrew will explain why the self-service data platform is the foundational layer that abstracts complexity and provides standardised, easy-to-use capabilities, and show you how to start implementing such a platform, with data contracts as the enabling feature.

About Andrew Jones

Andrew Jones is a Principal Engineer, author, and a Google Developer Expert. He thinks a lot about how to build platforms - particularly data platforms - that drive the creation of business value. His work on building self-served, effective, and well governed data platforms that facilitate the production and consumption of quality data led him to coining and defining "data contracts", and in 2023 he authored the seminal book on the topic.