A rapidly growing SCD2 Bronze layer is an expected outcome of implementing full historical tracking across financial services data platforms, where high-frequency attribute changes, noisy upstream systems, and long regulatory retention periods contribute to rapid data growth. This article outlines practical engineering strategies to keep SCD2 Bronze efficient and cost-effective, including effective partitioning, change-suppression logic, hot–warm–cold tiering, compaction and lifecycle optimisation, windowed processing, metadata offloading, and upstream data contracts. Advanced approaches, such as attribute-level SCD2, hybrid SCD2/delta-merge patterns, and hash-based change detection, further enhance scalability for mature platforms. The piece concludes that SCD2 growth is not a failure but a natural result of robust governance. With the right architecture and operational discipline, organisations can maintain an auditable, scalable, and regulator-aligned Bronze layer ready for analytics, AI, and Data Mesh.