From DBA to Data Platform Engineer
For database administrators moving into data engineering / data platform work.
A persona-framed path that starts from the database internals you already know, sharpens the SQL you own, and threads through the data-engineering and platform roadmaps plus the AI-era data shift — the honest route from administering databases to engineering the data platform.
- Build on the database internals and SQL you already know deeply
- Move from administering one database to engineering data pipelines and platforms
- Understand modern data-platform and analytics-engineering work
- See how AI reshapes data roles — and where judgment stays valuable
The PostgreSQL Internals Handbook
Start from the database internals you already understand.
Data Engineer Roadmap
Your bridge — the data-engineering roadmap, end to end.
The AI-Era Data Engineer
How AI reshapes data engineering — and what stays human.
AI for Data Analysts
The analytics side of the modern data platform.
Platform Engineer Roadmap
A data platform is platform engineering for data — the evolution.
The Resume & Portfolio Handbook
Present the shift from DBA to data-platform engineer.
DBAs own something scarce: deep understanding of how data is stored, indexed, queried, and kept correct under load. Data-platform engineering builds directly on that — moving from administering a single database to engineering the pipelines, models, and platforms that the whole company’s data runs on. This path re-sequences the site’s assets around that transition so your existing depth is the foundation, not a sunk cost.
You start from database internals and your advanced SQL, cross the bridge into data engineering, then see how the AI era reshapes the field (pipelines and glue get cheaper; data modeling, quality, contracts, and building data-for-AI become the valuable work) and how data platforms are really platform engineering for data. It finishes on presenting the shift from DBA to data-platform engineer with the depth you already bring.