That’s when we committed to a modernization journey, not just to replace tools, but to reimagine the architecture. We chose a lakehouse model built on Azure Databricks and ADLS Gen2 to unify batch and streaming data, enforce governance through metadata and role-based access and deliver analytics that were both fast and auditable.
Ultimately, modernization wasn’t about cost containment; it was about unleashing value. By transitioning to a scalable, compliant and cloud-native architecture, we empowered our commercial, medical and compliance stakeholders to move from reactive reporting to proactive decision-making. It was a strategic move to transform how data supported the business today and into the future.
Architecting the Azure Databricks lakehouse
As the lead architect for this transformation, I didn’t just migrate workloads from Teradata — I reimagined the entire data foundation to support agility, compliance and business impact. I envisioned a modular, metadata-driven architecture grounded in Azure Databricks, Delta Lake and Azure Data Lake Storage Gen2. With strong backing from a dedicated technical team, we built a resilient, end-to-end platform that aligned with both enterprise data standards and regulatory expectations.
