7h • In the News
Why your data career feels different in 2026
If your role has felt quietly precarious these last three years, this essay explains why, and it earns the ten minute read.
The claim: AI did not eat data engineering, it split it in two.
It automated the mechanic and raised the price of the architect, upending two generations at once, the ones who learned the tools and the ones who learned the "why".
Both now have to become something new.
It is a longer, slower read, built to be sat with rather than skimmed.
Which side of it do you see in yourself, and what are you doing about it?
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Why your data career feels different in 2026
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