Senior Principal Data Engineer

Role: Senior Principal Data Engineer leading enterprise-scale cloud data platforms and architecture within a biopharma context, with a focus on supporting analytical, operational, and AI workloads. Responsibilities: define technical strategy, architect scalable and secure data solutions, establish engineering standards, and mentor engineers; drive AI-assisted development, data governance, and platform excellence. Requirements: Bachelor's in Computer Science or related; 7+ years in Data/Software Engineering; expertise in designing cloud data platforms, data modeling, and programming in Python and SQL; hands-on with Databricks, Azure, AWS, Docker, Kubernetes, CI/CD, REST APIs; experience influencing cross-functional teams without direct management. Preferred: industry experience in biotech, pharma, healthcare, or regulated environments; knowledge of data governance tools, Infrastructure as Code, and Generative AI applications. High-Value: biopharma data infrastructure, AI-driven engineering, cloud platforms (Databricks, Azure, AWS), enterprise governance, and automation. Leadership: set technical direction, establish standards, enhance engineering productivity, mentor senior engineers, and serve as a technical advisor. WorkSetup: global, remote/hybrid; no specific travel indicated.