Engineering Lead, Data Analytics Platform

Duke PA; Durham (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Duke University’s Office of Information Technology is seeking an Engineering Manager for the Data Analytics Practice to lead a team building and supporting enterprise data platforms that power reporting and AI initiatives across the university.

You will shape Duke's data engineering strategy, mentor talent, and partner with technical and business leaders to deliver scalable, secure data solutions with modern architectures.

Qualifications

• Bachelor's degree or equivalent; relevant leadership experience.
• Experience leading technical teams and large-scale data engineering initiatives.
• Experience with enterprise data warehouses, data lakes, or modern analytics platforms.
• Strong SQL and Python, data modeling, and data integration knowledge.
• Experience with SDLC, source control, automated testing, and CI/CD processes.

Responsibilities

• Lead and develop a team of data engineers for enterprise data platforms.
• Define technical strategy, standards, and best practices for data architecture, engineering, and analytics delivery.
• Partner with business and technical stakeholders to prioritize and deliver high-impact data initiatives.
• Support evolution of the Duke data ecosystem to enable analytics, reporting, and AI capabilities.
• Drive operational excellence through automation, governance, platform reliability, and continuous improvement.

Skills

Leadership

Stakeholder management

Communication

Mentoring

Strategic thinking

Education

Bachelor's degree in CS/IT/Engineering/Data Science

Tools

dbt

Job description

Duke University’s Office of Information Technology is seeking an Engineering Manager for the Data Analytics Practice to lead a team building and supporting enterprise data platforms that power reporting and AI initiatives across the university.

You will shape Duke's data engineering strategy, mentor talent, and partner with technical and business leaders to deliver scalable, secure data solutions with modern architectures.