Data engineering workloads are among the most expensive cloud line items. This article covers the concrete cost optimization patterns gaining real traction in 2026: zombie query detection, spot instance strategies, compute-storage separation, and FinOps practices that actually work - with numbers and examples.

Databricks reports that AI agents - not humans - spin up the majority of new databases across 20,000+ customer environments. Multi-agent workflows grew 327% in four months. Here is what this shift looks like day-to-day and how the data engineer role is evolving from builder to architect.

Meta published details on a system that uses 50+ specialized AI agents to auto-document its massive internal data platform - going from 5% to 100% code module coverage. A technical deep-dive into what tribal knowledge really costs and how one of the world's largest data organizations tackled it.

A March 2026 survey of 650 enterprise tech leaders reveals that most AI agent projects stall between pilot and production. This article breaks down the five real blockers - quality, integration, orchestration, latency, and governance - with engineering patterns that address each one.

Reuters counts 38,000 tech layoffs in Q1 2026 while AI companies raised record funding. This article digs into the disconnect: which roles are being cut, which are growing, how team structures are changing in data and ML organizations, and what the data actually shows about AI's impact on engineering jobs.