Applicants must possess at least 5 years of experience in the following: (1) PaaS/SaaS including R&D SaaS platforms (Veeva RIM, PV, Aegis, and Ennov) and their application in life science drug research and product safety; (2) ensuring systems are 'audit-ready' through necessary controls in a regulated pharmaceutical GxP environment; (3) Public Cloud platforms (Microsoft Azure, GCP) and associated automation/integration services (Logic Apps, Databricks); (4) Engineering and delivering enterprise scale data solutions, with examples in the cloud (Azure based, GCP based, Oracle); (5) Software development practices including Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), and DevSecOps tooling; (6) Programming & Scripting including Python (OOP, Classes/Methods, custom packages) and Javascript; and (7) Data architecture and engineering methodologies (Domain driven data architecture, Scalable data pipelines, API-Centric Design, SQL/NoSQL, FAIR data principles). Use modern product approaches, such as rapid prototyping and continuous discovery, to influence and shape the business through partnership with Product Management, ensuring reliable and consistent delivery of solutions that end-users love.