Lead-Data Engineer

Location Remote\-United States Category Information Technology Department Cancer Center \- Informatics Position Type Full Time Scheduled Weekly Hours 40 Req \# JR7696 **Job Description** ------------------- The Lead Data Engineer is responsible for designing, building, and supporting enterprise data solutions that enable clinical research, operational excellence, analytics, and data\-driven decision\-making. This role translates complex business and research requirements into scalable, secure, and maintainable data architectures, integration solutions, and analytics platforms using established development standards, tools, and best practices. In addition to technical leadership, the Lead Data Engineer is expected to drive strategic data initiatives, proactively identify opportunities for process improvement, automation, AI adoption, and data modernization, and provide expert guidance on emerging technologies that support clinical research and institutional objectives. The Lead Data Engineer serves as a technical lead for complex projects, providing end\-to\-end ownership from requirements gathering and solution design through implementation, documentation, deployment, and operational support. The role requires strong prioritization, stakeholder engagement, communication, and project management skills to successfully manage multiple initiatives and ensure timely delivery of high\-quality solutions. This position is responsible for ensuring solutions meet functional, technical, governance, security, and compliance requirements while adhering to St. Jude development standards and architectural principles. The Lead Data Engineer also monitors and optimizes databases, data warehouses, cloud platforms, ETL pipelines, and scheduling processes to ensure system reliability, performance, scalability, and data quality. The successful candidate will demonstrate leadership through proactive communication, meaningful participation in cross\-functional discussions, high\-quality technical documentation, mentorship of team members, and a commitment to continuous improvement. Experience with AI\-enabled technologies, advanced analytics, and data engineering solutions supporting clinical research, healthcare, or regulated environments is highly desirable. **Job Responsibilities:** * Participate in the development of enterprise data and analytics strategies that support clinical research, operational excellence, AI\-enabled innovation, and organizational objectives. * Provide expert leadership and guidance on industry best practices related to data engineering, data architecture, data integration, data governance, cloud platforms, analytics, and reporting. * Lead the design, implementation, and optimization of scalable data models, data warehouses, and data integration solutions that enable efficient access, analysis, visualization, and sharing of data. * Serve as a technical lead for data modernization and digital transformation initiatives, including the