Lead the design, development, and governance of secure, scalable, and sustainable cloud-based data solutions in Microsoft Azure. Serve as a technical authority, mentoring engineers, standardizing cloud service patterns, and delivering robust OLTP/OLAP data models. Collaborate across teams to drive AI/ML analytics capabilities, ensure cybersecurity compliance, and integrate new data technologies. Requires 10 years in data engineering/architecture, 4 years with Python, strong Azure expertise, and experience with tools such as Terraform, Databricks, dbt, and orchestration platforms (Airflow, Dagster, Luigi).