Principal Data Engineer

Full-time

Johnson & Johnson

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

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Vacancy posted 6 hours ago

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