Principal Engineer, Data Engineering

• Job title Principal Engineer, Data Engineering
• Function Data Analytics & Computational Sciences
• Sub function Data Engineering
• Category Principal Engineer, Data Engineering (ST7)
• Location New Brunswick / United States of America
• Date posted Jun 23 2026
• Requisition number R-081913
• Work pattern Fully Remote

This job posting is anticipated to close on Jul 01 2026. We may however extend this time period, in which case the posting will remain available on www.careers.jnj.com to accept additional applications.

Description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world 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 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 humanity. Learn more at jnj.com

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.

Job Function:

Job Sub Function:

Job Category:

All Job Posting Locations:

Job Description:

This position will have to work covering all regions and time zones. This is a duration based role that will last 2 years.

We are looking for an experienced leader to lead our Global MedTech Commercial data domain modelling. This person will work under the mentorship of the MedTech Global data Strategy Leader to modernize our commercial data platforms and analysis systems, giving MedTech new intelligence, integration, and digital abilities. The improved system will build a unified data model and boost commercial capabilities, while also reducing our dependence on old systems and end-end simplification. This role is based in New Brunswick, NJ with remote work options in the U.S.

This role involves owning the execution, and deployment of MedTech's data platform Domain driven plans. The candidate will have a deep knowledge of MedTech areas, and a solid grasp of Domain driven Architecture.

Key Responsibilities:

Technical Lead owns product engineering and architectural decisions, acting as both the executor and visionary behind the technical solution. This role works with squad Lead Engineers and product squads to solve complex engineering problems and craft technical designs, and is accountable for product technical architecture, alignment to the technology roadmap, and technical engineering standards.

This role requires deep technical expertise and strong architectural foundation with 10+ years of experience, including Azure and Microsoft Fabric, Databricks, Power BI, data mesh, data federation, data modeling, data governance, and strong enterprise data management skills.

Responsibilities / Key Jobs to be Done (Workday “What You Will Do”)

• Responsible for overall engineering and technology architecture definition, roadmap, and technical decisions for the product in coordination with the Product Owner, Product Group Engineer, and BU Architect; accountable for ensuring technical implementation aligns to BU architecture vision, economic framework, and business needs.
• Work closely with business partners to help define product strategy/vision and translate business needs into scalable data engineering solutions.
• Provide hands-on technical leadership (“hands-on-keys”) while supporting system/design/code reviews; assemble, write, and approve technical enablers as needed.
• Drive development and selection of technical solution options and test concepts/potential solutions with users and stakeholders.
• Negotiate technology options with business partners and collaborate with platform/product teams to identify opportunities to leverage platforms and drive reuse.
• Manage development and review cadence; align the technical landscape across squads to promote reusability, scalability, and modularity.
• Monitor product/platform developments and drive leading engineering practices for higher technical quality.
• Own technology lifecycle management and the product API catalog, including definition, creation, and maintenance of technical interfaces (including data interfaces/APIs).
• Observe technology trends across the industry; conduct research spikes for new capability and innovation opportunities; ensure timely adoption of new technologies.
• Help Product Owners/Lead Engineers prioritize technical backlogs across squads; coach and mentor product and squad members.
• Manage risks; solve, escalate, and track cross-product dependencies, impediments, and delivery blockers.
• Be the single point of contact for ISRM, TQ (Q-CSV), vendors, and enterprise platform owners for the product area.

Technical Scope & Expectations (Data Engineering Focus)

• Lead the design and implementation of enterprise data pipelines and data products using Azure and Microsoft Fabric (Lakehouse/Warehouse patterns as applicable), Databricks, and modern orchestration approaches.
• Enable governed analytics consumption and semantic layer practices using Power BI (including performance, security, and model governance).
• Apply data mesh principles and data federation approaches to enable domain-aligned ownership with federated governance.
• Establish strong data modeling standards (conceptual/logical/physical; dimensional and domain-oriented modeling) and ensure models are optimized for downstream consumption and interoperability.
• Implement and enforce data governance, data quality controls, lineage/metadata practices, access controls, and data management standards.

Key Skills (Workday “What You Bring”)

• Leadership skills and behaviors.
• Creates a culture that relentlessly focuses on helping people and organizations we touch.
• Ability to lead team members across squads from different technical functions, with varying skills, expertise, and tenure.
• Commitment to Our Credo, Diversity, Equity & Inclusion by ensuring we attract, develop, and retain talent reflective of the communities we serve.
• Strong customer focus; ensures we have the right products to proactively resolve customer issues.
• Establish and maintain trust with the BU Architect, Product Group Engineer, and Product Group.
• Extensive experience in Agile Development, including team creation, leadership, product/platform standards, governance processes, and change management.
• Substantial skills in the technologies in the role’s domain, sufficient to drive technical solutioning and actively engage with engineers on technical tradeoffs.
• Functional SDLC toolchain knowledge including CI/CD pipelines, test automation, and container-based deployment technologies.
• Strong expertise across: Azure, Microsoft Fabric, Databricks, Power BI, data mesh, data federation, data modeling, data governance, and enterprise data management.

Domain Expertise

• Experience leading the selection, build, and integration of platforms including data management, API architecture/design, and cloud-native technologies.
• Experience owning products/platforms over their lifecycle in a multi-team/channel context.
• Deep understanding and experience in high-quality digital delivery, including planning, dependency management, change control, compliance, and delivery execution & governance.
• Sufficient understanding of business needs, including knowledge of business processes, relevant value drivers, and industry trends.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (Master’s preferred).
• 10+ years of experience in data engineering, data platforms, and/or technical architecture in an enterprise environment.
• Demonstrated experience leading architecture decisions and engineering standards across multiple squads/teams.
• Hands-on expertise with Azure and Microsoft Fabric, Databricks, and Power BI.
• Strong experience with data mesh/data federation concepts, data modeling, data governance, and enterprise data management practices.
• Proven ability to communicate complex technical concepts to both technical and non-technical stakeholders and drive alignment on decisions.

Preferred Qualifications

• Experience in regulated and/or highly governed environments with strong security, privacy, and compliance requirements.
• Experience partnering with ISRM and quality/compliance organizations (e.g., Q-CSV) on delivery and operational readiness.
• Experience driving measurable outcomes, observability, reliability engineering practices, and operational excellence for data products.

#JNJTECH

#LI-Remote

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 https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

Additional Description for Pay Transparency: