Salary of a Data Architect



 What do Data Architects actually earn? They take care of building data platforms and support their colleagues from the areas of Data Science, analytics and engineering. But are they fairly compensated for this?


How to become a Data Architect

Professionals from the fields of Informatics, Computer Technology, or Data Engineering can work as a Data Architect. Similar to the Data Engineer, I have not yet seen a specific course of study that trains you to do this, but I have seen many opportunities for further training in the form of courses. Often, the path of becoming a Data Architect is probably via previous activities in the form of a Data Engineer or other IT professions in the area of platforms and software architectures.


What Skills are needed?

Here, it may be that you specialize in the area of data or also take over activities from the area of IT and cloud platforms. This varies according to the size of the company. However, it is clear that especially platforms take place more and more in the area of cloud, so that these areas overlap here very much and knowledge is necessary. So you need to be familiar with IT technology, data technology and the cloud — that’s the only way to bring all the individual services together in a meaningful way, whether it’s data interfaces or ML services. Approaches such as Data Mesh and Data Lakehouse are becoming increasingly popular.

How much can you earn?

Now to perhaps the most interesting question: How much does a Data Architect earn and how much can one ask for when working in this profession? Of course, experience and the company play a role here. Newcomers are not paid the same as seniors and smaller companies often pay less than larger ones. As a rough estimation, you can say that on average a Data Architect in Europe earns €76,165/ year (roughly 80,306$)[1]. Similar to Data Scientists and Data Engineers, companies located in the US often pay a little more: Here, you start with $ an average base salary in US $143,573 [2].

Conclusion

This article has shown you that indeed, you can earn a bit better than e.g. Data Engineers or Data Analysts — so it is a very interesting profession with good future opportunities and very well paid.