Principal Data Engineer

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, and solutions are personal.

Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Data Analytics & Computational Sciences

Data Engineering

Scientific/Technology

New Brunswick, New Jersey, United States of America

In this duration based role that will last 2 years.

The Principal Data Engineer owns product engineering and architectural decisions, serving as both the technical visionary and hands‑on leader responsible for solution delivery. This role partners closely with Product Owners, Product Group Engineers, Lead Engineers, architects, and cross‑functional product squads to solve complex engineering challenges, define scalable technical solutions, and ensure alignment with enterprise technology strategy.

The role is accountable for product technical architecture, engineering standards, technology roadmaps, and the successful delivery of scalable, secure, and governed data and AI solutions. The ideal candidate brings 10+ years of progressive experience in enterprise data engineering, architecture, analytics, and AI, with deep expertise in Azure, Microsoft Fabric, Databricks, Power BI, Data Mesh, Data Federation, Data Modeling, Data Governance, Enterprise Data Management, Generative AI, and Agentic AI platforms.

• Lead the end‑to‑end data integration strategy for the Butterfly program, ensuring seamless data movement across CRM, ERP, MDM, CDP, analytics, and downstream platforms.
• Own integration architecture decisions, standards, and patterns across batch, real‑time, API‑based, event‑driven, and file‑based integrations.
• Partner with business, product, and application teams to define data exchange requirements and align with enterprise data standards.
• Drive the design, development, testing, and deployment of scalable integration solutions supporting global releases and country rollouts.
• Establish and govern integration design reviews, technical specifications, mapping documents, and interface contracts.
• Coordinate cross‑functional teams to manage integration dependencies, risks, and release readiness.
• Serve as the primary technical lead for application onboarding, source‑to‑target mapping, integration assessments, and data flow design.
• Ensure integration solutions meet performance, reliability, scalability, security, and compliance requirements.
• Technical Scope & Expectations (Data Engineering Focus).
• Design and implement enterprise integration solutions using APIs, ETL/ELT pipelines, messaging frameworks, event‑driven architectures, and cloud‑native integration patterns.
• Lead source system onboarding and integration of commercial, customer, product, consent, and transactional data into Butterfly data products.
• Establish reusable integration frameworks, canonical data models, and standardized mapping approaches to accelerate delivery and reduce complexity.
• Embed data quality controls, reconciliation processes, exception handling, and monitoring capabilities into all integration solutions.
• Collabor…