Skip to content

Scott Haines on the Future of Data Engineering

December 17, 2025 · 1 h 51 min

Show notes

In this episode, I sit down with Scott Haines — O’Reilly author, Databricks MVP, and veteran of Yahoo, Nike, and Twilio — for a wide-ranging conversation on the real state of modern data engineering.

We dig into open-source ecosystems, Lakehouse architectures, the evolution of Spark, streaming, what’s broken and what’s working in today’s data tooling, and the lessons Scott has learned scaling platforms at some of the biggest companies in the world.

If you care about data engineering, architecture, OSS, or the future of the modern data stack, you’ll love this one.

Thanks for reading Data Engineering Central! This post is public so feel free to share it.

Make sure to follow Scott here on Substack, and over on GitHub.



This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit dataengineeringcentral.substack.com/subscribe

All episodes of Data Engineering Central Podcast

Settings

Display

Language

Decides which stations you see first on the home page.

History

Recently played stations and episodes and your latest searches are only stored in this browser.

Notifications

A short notice when a podcast you follow has a new episode. Turn off single podcasts with the bell on their page.

Account

Save favorites – in the app and on the website.

Keyboard shortcuts

/
Open search
Space
Play or pause
← →
In the player: back 15 s, forward 30 s (episodes) · in a row: next tile
↑ ↓
In a row: target within the tile
Home / End
In a row: first or last tile
Esc
Close window or menu
?
This overview
Now playing

Go to station page

Play next

    Add episodes with “Play next” – they play after the current episode.