Things are what people call them. Featurization/Feature Extraction used to refer to manual feature engineering, where you could tell what each numerical value is.

Vectorization, as colloquially used by developers in the AI space today, refers to the same thing being done via deep learning models, so it is less to do with ML Features, and more to do with generating a Vector all at once, with each dimension not having a specific meaning.