Principal Data Engineer

Johnson & Johnson seeks a Principal Data Engineer to lead enterprise data integration strategy and architecture for a 2-year duration role. The position requires owning technical decisions, driving scalable solutions across cloud platforms, and partnering with cross-functional teams to modernize data systems and deliver governed AI capabilities.

Responsibilities

• Lead end-to-end data integration strategy, owning architecture decisions and standards across batch, real-time, and event-driven integrations
• Design and implement scalable enterprise integration solutions using APIs, ETL/ELT pipelines, and cloud-native patterns on Azure and Databricks
• Partner with business, product, and application teams to define data exchange requirements and establish integration governance processes
• Drive source system onboarding, establish reusable integration frameworks, and embed data quality controls and monitoring capabilities
• Mentor and coach engineering talent while coordinating cross-functional teams to manage dependencies, risks, and release readiness

Requirements

• 10+ years progressive enterprise data engineering, architecture, and analytics experience
• Deep expertise in Azure, Microsoft Fabric, Databricks, Power BI, and Data Mesh architectures
• Proven leadership of Agile delivery organizations and technical teams across multiple functions
• Strong knowledge of cloud-native architectures, API-first design, and enterprise integration patterns
• Experience with modern SDLC, CI/CD pipelines, DevOps, containerization, and Infrastructure as Code
• Expertise in data governance, data modeling, and enterprise data management frameworks