Introduction

Within a company using data to derive business value, although you may not be appreciated with your data science skills all the time, you always are when you manage the data infrastructure well. Everyone wants the data stored in an accessible location, cleaned up well, and updated regularly.

Backed up by these unobtrusive but steady demands, the salary of a data architect is equally high or even higher than that of a data scientist. In fact, based on the salary research conducted by PayScale (https://www.payscale.com/research/US/Country=United_States/Salary) shows the US average salary of Data Architect is $121,816, while that of Data Scientist is $96,089.

Not to say all data scientists should change their job, there would be a lot of benefits for us to learn at least the fundamentals of data architecture. Actually, there is one simple (but meaningful) framework that will help you understand any kinds of real-world data architectures.

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