Principal Data Engineer

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech 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 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.

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Job Description:

This is a duration based role that will last 2 years.

ThePrincipal 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 brings10 years of progressive experiencein enterprise data engineering architecture analytics and AI with deep expertise inAzure Microsoft Fabric Databricks Power BI Data Mesh Data Federation Data Modeling Data Governance Enterprise Data Management Generative AI and Agentic AI platforms.

Responsibilities:

• 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.
• Collaborate with MDM Data Product Analytics Experience and Application teams to support a unified enterprise data ecosystem.
• Define integration observability standards including logging alerting monitoring SLA management and operational support processes.
• Drive API-first integration strategies and support the governance and lifecycle management of enterprise APIs and data services.
• Lead migration and modernization efforts from legacy integrations to cloud-native architectures leveraging Azure Databricks and Microsoft Fabric.

Key Skills (Workday What You Bring)

Leadership Skills and Behaviors

• Creates a culture that relentlessly focuses on improving outcomes for customers employees and the communities we serve.
• Leads and influences technical teams across multiple squads functions geographies and experience levels.
• Demonstrates commitment to Our Credo Diversity Equity & Inclusion by fostering an environment where diverse talent can thrive.
• Brings a strong customer-centric mindset and ensures the delivery of products that anticipate and address customer needs.
• Establishes trusted partnerships with architects engineering leaders product leaders and business stakeholders.
• Coaches develops and mentors engineering talent while promoting accountability ownership and innovation.

Product / Digital Expertise

• Extensive experience leading Agile delivery organizations including product development governance standards and organizational change management.
• Deep technical expertise across Azure Microsoft Fabric Databricks Power BI Data Mesh Data Federation Data Modeling Data Governance Enterprise Data Management AI Engineering and Generative AI technologies.
• Strong understanding of cloud-native architectures API-first design distributed systems and enterprise integration patterns.
• Expertise with modern SDLC practices CI/CD pipelines test automation DevOps containerization Infrastructure as Code and platform engineering.
• Proven ability to evaluate technical tradeoffs and guide teams toward scalable maintainable solutions.

Domain Expertise

• Experience leading the selection implementation integration and operation of enterprise data analytics AI and digital platforms.
• Strong experience managing products and platforms throughout their lifecycle in complex multi-team environments.
• Deep understanding of enterprise delivery practices including planning dependency management governance compliance quality management and operational excellence.
• Ability to align technology investments with business strategy value drivers and industry trends.
• Demonstrated success driving measurable business outcomes through data analytics and AI solutions.

Required Qualifications

• Bachelors degree in Computer Science Engineering Information Systems Data Science or a related field; Masters degree preferred.
• 15 years of experience in enterprise data engineering technical architecture analytics AI platforms and cloud engineering.
• Proven experience leading architecture decisions technical strategy and engineering standards across multiple teams and products.
• Hands-on expertise with Azure Microsoft Fabric Databricks Power BI and modern cloud-native technologies.
• Strong experience with Data Mesh Data Federation Data Products Data Modeling Data Governance and Enterprise Data Management disciplines.
• Demonstrated expertise with Generative AI technologies including LLMs RAG vector databases AI agents prompt engineering and enterprise AI architectures.
• Experience implementing MLOps LLMOps Responsible AI model governance and AI operationalization frameworks.
• Strong understanding of structured and unstructured data architectures supporting enterprise AI and intelligent automation.
• Exceptional communication collaboration and stakeholder management skills with the ability to influence both technical and non-technical audiences.
• Proven ability to lead through ambiguity and drive alignment across business and technology organizations.

Preferred Qualifications

• Experience operating in highly regulated industries with stringent security privacy compliance and quality requirements.
• Experience partnering with ISRM Quality & Compliance organizations and audit functions to ensure operational readiness and control compliance.
• Experience with enterprise knowledge management platforms document intelligence solutions and semantic technologies.
• Familiarity with knowledge graphs graph databases vector platforms enterprise search and advanced AI retrieval strategies.
• Demonstrated experience establishing engineering observability reliability engineering practices Site Reliability Engineering (SRE) and operational excellence frameworks.
• Experience driving measurable business outcomes and value realization through enterprise data and AI initiatives.
• Experience leading enterprise AI transformation programs AI platform strategy and adoption of emerging AI technologies at scale.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation please contact us via or contact AskGS to be directed to your accommodation resource.

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