8 Comments

Thanks!

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I know that every junior dreams of joining a FAANG and I think it is a great way to learn because you will join great engineers. But I do think you could become a great engineer too by working for great IT companies that have great products. For instance Adobe, Red Hat

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Agreed, you can become a great engineer working at non-FAANG companies. Scope of the work is what matters most

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I couldn’t agree more!

I actually wrote an article on how we define levels in our Data Science discipline. And you will not see tenure or specific technologies listed there.

You will see though 6 dimensions to measure an individual: scope, expertise, delivery, build the right thing, build it right and run it right.

(Haven’t been able to migrate my article from Medium to Substack - I’ll get there. In the meantime this is a friend link to bypass the paywall)

https://towardsdatascience.com/how-to-build-a-competency-framework-for-data-science-teams-9b5271fd2b8e?sk=fc6f8a45e5b8d267dcc74513b77e8246

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I wonder if the reason why banks have so many VP SWE is to pay them salaries competitive with FAANG (because they have a set salary table).

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Well they could just raise salaries without changing titles to be competitive but they haven’t according to levels.fyi.

Inflating titles is a way to attract people to work at these companies without paying them more.

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Great points mentioned.

This relates well: https://www.junaideffendi.com/p/why-job-titles-matter

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Yep, there is some value in some titles (it depends as always though)

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