Principal Engineer, Data Engineering

Job Function Data Analytics & Computational Sciences Job Sub Function Data Engineering Job Category Scientific/Technology Job Location New Brunswick, New Jersey, United States of America Job Description This 2‑year, full‑time leadership role is based in New Brunswick, NJ with remote work options in the U.S. The incumbent will lead MedTech’s global commercial data domain modeling, modernizing our commercial data platforms and analysis systems to improve integration, intelligence, and digital capabilities across all regions and time zones. Key Responsibilities Own technical lead responsibilities, from product engineering to architectural strategy, ensuring alignment with the technology roadmap and business needs. Collaborate with squad lead engineers, product owners, and business partners to translate business requirements into scalable data‑engineering solutions. Provide hands‑on technical leadership, conducting design, code, and system reviews while defining technical enablers and solutions. Set and enforce technical standards, promote reusability, scalability, and modularity across squads, and drive best engineering practices. Manage the technology lifecycle, including product API catalogs and data interface definitions. Research and adopt emerging technologies, conduct spikes for innovation opportunities, and ensure timely technology adoption. Prioritize technical backlogs, coach and mentor squad members, and resolve cross‑product dependencies and impediments. Serve as the single point of contact for ISRM, TQ (Q-CSV), vendors, and enterprise platform owners related to 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, Databricks, and modern orchestration methods. Enable governed analytics consumption and semantic layer practices through Power BI, focusing on performance, security, and model governance. Apply data mesh principles and data federation approaches to support domain‑aligned ownership with federated governance. Establish strong data modeling standards (conceptual, logical, physical; dimensional and domain‑oriented) and ensure models are optimized for downstream consumption. Implement and enforce data governance, quality controls, lineage/metadata practices, access controls, and data management standards. Skills (What You Bring) Leadership skills and behaviors; ability to build a culture focused on continuous improvement and employee development. Skill in leading cross‑functional teams across multiple technical functions, varied skill sets, and tenure levels. Commitment to diversity, equity, and inclusion. Strong customer focus and ability to proactively resolve client issues. Extensive experience in Agile development, governance processes, and change management. Proficiency with Azure, Microsoft Fabric, Databricks, Power BI, data mesh, data federation, data modeling, data governance, and enterprise data management. Experience owning products/platforms over their lifecycle in a multi‑team context. Understanding of business needs, processes, value drivers, and industry trends. Strong communication skills for both technical and non‑technical stakeholders. 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, 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. Partnership experience 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. Benefits and Compensation Base pay range: $102,000 - $170,000. Participation in company‑sponsored benefits including medical, dental, vision, life insurance, short‑ and long‑term disability, business accident insurance, and group legal insurance. Consolidated retirement plan (pension) and savings plan (401(k)). Time‑off benefits: Vacation (120 hours per calendar year), Sick time (40 hours per calendar year); Washington residents receive 56 hours, Holiday pay (13 floating days), Work/Personal/Family time (up to 40 hours), Parental leave (480 hours within one year), Condolence leave (30 days for immediate family, 5 for extended), Caregiver leave (10 days), Volunteer leave (4 days), Military Spouse time‑off (80 hours). Equal Opportunity Employer 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 any other characteristic 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. #J-18808-Ljbffr 6090-Johnson & Johnson Services Inc. Legal Entity