Build AWS Glue Data Quality pipeline using Terraform

AWS Glue Data Quality becoming Infrastructure-as-Code native is a watershed moment for data governance. I've watched teams struggle with bolted-on quality frameworks that exist outside their deployment pipelines—creating operational friction and drift. Terraform support means quality rules can now live alongside ETL logic in version control, enabling teams to treat data contracts as first-class infrastructure artifacts rather than afterthoughts. This matters operationally because it collapses the gap between data engineers who build pipelines and platform teams who enforce governance. The architectural implication is significant: you can now shift left on quality validation without fragmenting your deployment story across multiple tools. What concerns me is that adoption will still require discipline—IaC enablement solves tooling, not organizational alignment. My recommendation is straightforward: if you're on AWS and Glue, pilot this with one critical data domain. Measure whether quality-as-code actually reduces incident response time and improves stakeholder confidence in your datasets. That metric matters more than the feature itself.