![]() ![]() I've seen this at other places too, though my current org it is not the case. At my last employer, I had capped out in the salary band assigned to our highest level of engineer and my options were to go into architecture or management to continue growing my salary. Unless a place has a fairly deep career progression for engineers, architects will generally make more. An enterprise architect will have a much more strategic focus vs the tactical focus a solutions / dats architect that works at a team level would have. But that isn't my job.Īlso - there's a huge variety in what architects do. I've been an architect for a few years now and while I can code enough to handle the POCs I need to, I absolutely cannot write a production grade pipeline. In a sufficiently large company, there is a VERY large difference between an architect's skill set and a very senior data engineer. Like others have said, it dramatically differs based on company, job responsibilities, etc. Unfortunately our section of the industry is just not as well defined :( Visit PayScale to research data architect salaries by city, experience, skill, employer and more. It just really depends on the company and can go in a million different directions. The average salary for a Data Architect with Apache Hadoop skills is 129,590. Data Architect has meant things from "In charge of building new pipelines" to "maintaining legacy pipelines and shuttling some improvements if necessary" where I've been, whereas "Data Warehouse Engineer" or "Big Data Engineer" has meant building new pipelines and integrating into AWS, Airflow, etc. titles in an attempt to structure, and mimicing the SWE hierarchy.Įnterprise Data Architect in my experience is a bit higher as well, but thats mainly based off of what I've seen from consultingĮdit: Besides just the pay, the titles meant wildly different things as well. I've also noticed a trend in companys ditching the Data Architect title completely and moving towards Data Engineering with Jr/Assoc/Sr/Lead etc. Currently at my new company a senior data engineer is ~200k. For example at my previous company, a data architect was ~ 105k. I think a big problem is that these terms are pretty interchangeable, and lots of companys/recruiters use them almost randomly.
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