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Your Data Platform Costs More Than It Should

Let me tell you about the moment I stopped treating cloud costs as someone else’s problem. We were three months into a Snowflake migration. Everything was humming. Pipelines were green, dashboards were fast, the analytics team was happier than I’d seen them before. I felt good about the work we’d done. Then finance forwarded me the invoice. The number wasn’t catastrophic. But it was significantly higher than what we’d budgeted, and when I started digging, I couldn’t explain where most of it was going. I knew we had warehouses running. I knew we had pipelines executing. But I couldn’t tell you which warehouse was responsible for what cost, which pipelines were the expensive ones, or whether the money was well spent. I had built a platform I was proud of — and I had no idea what it actually cost to operate.

  • Snowflake
  • AWS
  • Cost Optimization
  • FinOps
  • dbt
  • Data Platform
Saturday, April 25, 2026 Read
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The 2026 Data Engineering Strategy Nobody's Writing (But Everyone Needs)

What if I told you the biggest threat to your data platform isn’t technology—it’s that we’ve stopped building the next generation of engineers who’ll run it? Not the latest database that promises to solve everything. Not whether you picked the right orchestrator. The real crisis is that we’ve systematically broken our talent pipeline. And in 2026, that decision is going to start costing us in ways that no amount of tooling can fix.

  • Strategy
  • Team Building
  • Cost Optimization
  • DuckDB
  • AI Tools
  • Career Planning
  • 2026 Trends
  • Future of Work
Thursday, January 15, 2026 Read