Principal Data Engineer

Your day-to-day will include

• Leverage Elanco's Enterprise Data and PaaS/SaaS Platforms to deliver mission-critical product safety solutions.
• Directly accountable for re-imagining the digital backbone of global Pharmacovigilance (PV) systems, transitioning legacy platforms into a modern, automated, and AI-driven ecosystem.
• Provide technical leadership in the design and execution of systems engineering solutions, driving standards across the R&D landscape to ensure a balance of modern innovation and pragmatic stability.
• Partner with enterprise architects to shape the technical roadmap for next-generation safety platforms, ensuring scalability, compliance, and seamless integration with the broader enterprise landscape (e.g., SAP ERP, Veeva RIM, Ennov).
• Act as a lead mentor and coach, fostering a culture of engineering excellence and decentralized command within product squads.
• Drive a continual modernization plan to bring legacy systems and data products in line with new enterprise standards.
• Partner with core engineering and security groups to ensure application integrity and safety.
• 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.

You have the following technical skills and qualifications

• Education requirement - Bachelor's degree in Computer Science, Engineering, Data Science, a related field, or a foreign equivalent
• Relevant experience requirement - 5 years of progressively responsible post-baccalaureate experience in job offered or any related engineering/data science roles. 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).
• 10% domestic travel required for support site-based product discovery and implementation.
• Must live within a commutable distance to the assigned Elanco Office location to meet 30 days per quarter work from office requirement.

Additional information

Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.