A very stupid interview process. After telling them that I am a data scientist and not a solutions architect, the head of that AWS team still wanted to interview me. After passing the first 90-minute round, I was in a round called the loop. It was mostly behavioral questions with a couple of technical fact questions thrown here and there. The questions for my final project were pretty stupid and showed a lack of understanding of my whole presentation. I presented a price optimization architecture, and there was a very limited understanding of the whole business aspect of it on the team. Also, while the team had data science professionals, everyone has a different background in this field if they haven’t majored in it. To ask random questions based on your experience makes no sense. Look at my projects online and ask me questions on that if you are interested; I am not here to study all of data science and teach it to you for an interview. This is what they wanted: someone who had memorized a bunch of facts about DS/solutions that they could spit out. To be honest, their whole loop process and final presentation is about seeing who presents what and “stealing project ideas.” This is fine, but it is cumbersome. If they just want to steal ideas, they can ask it from me in an earlier stage without bothering me for six hours. I have never cared about sharing ideas with less competent people, as it makes the world better anyways. But six hours? 😂
Behavioral star format based questions.
The following metrics were computed from 49 interview experiences for the Amazon Solutions Architect role in United States.
Amazon's interview process for their Solutions Architect roles in the United States is extremely selective, failing the vast majority of engineers.
Candidates reported having mixed feelings for Amazon's Solutions Architect interview process in United States.