Architecting for Data Products

Data Mesh principles have brought data products to the forefront of data architecture discussions. However, due to the variety of applications and the vast technology landscape, it is hard to bring those principles into practice.

Data products also provide a new lens to think about data ownership, encapsulation, data sharing, and even team structures across an organization.

In this presentation, we will bring insights based on our experience implementing data products and Data Mesh principles in different organizations, covering topics such as:

  • What constitutes a data product and what are the different types of data products
  • How data products support data architecture at different levels, from inside an application all the way up to an enterprise level
  • Skills and team topologies to support data product thinking
  • The data platform capabilities required to build an operating model based around data product teams

What's the focus of your work these days?

I help our client's data leaders to create value from their data, by advising on their Data & AI strategy, and how to bring it to life through modern data architecture and engineering.

What's the motivation for your talk at QCon London 2024?

I have many conversations with different clients, and there's a lot of confusion and different interpretations around what a data product is. It gets more interesting when you start looking around how to architect and build them, so I thought this was a topic worth exploring.

How would you describe your main persona and target audience for this session?

I expect this would be of interest to Data Architects, Data Engineers, or Technology Leaders with an intermediate to advanced understanding of data architecture in general.

Is there anything specific that you'd like people to walk away with after watching your session?

I want them to gain a shared understanding of what a data product is, what their different types are, and how that impacts the technical architecture and the team dynamics needed to build and support them.


Danilo Sato

Global Head of Technology - Data & AI @Thoughtworks, Author of DevOps in Practice, CD4ML, and DataIQ UK’s 100 Most Influential People in Data in 2022–2023

Danilo helps organisations win with Data & AI by delivering value-led transformations. As a VP, Global Head of Technology - Data & AI, he advises executive leaders on topics ranging from data strategy and governance to building the products and platforms that bring the strategy to life. A member of Thoughtworks' Global Technology team, he is responsible for developing our unique approaches to Data & AI, such as Data Mesh and CD4ML. Author of Devops in Practice, Danilo was named by DataIQ as one of UK's 100 most influential people in data in 2022 and 2023. His work with ITV has won the DataIQ 'Shared data, shared culture' award in 2022.

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Find Danilo Sato at:


Monday Apr 8 / 01:35PM BST ( 50 minutes )


Whittle (3rd Fl.)


Data Architecture architecture Data Data mesh Data Products Team Topologies


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