Data governance has historically been the least glamorous part of data engineering. Engineers thrive on building things, designing scalable pipelines, curating high-quality datasets, and enabling machine learning models that deliver real business impact due to business demands. Governance, on the other hand, is often seen as red tape, including permissions, audit logs, compliance checks, and