Johnson & Johnson
Estimated pay: Est. $19–$29/hr (market estimate, not employer-stated)
Shift: Full time
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: Technology Product Platform Management Job Sub Function: Technical Product Management Job Category: Scientific/Technology All Job Posting Locations: Titusville, New Jersey, United States of America Job Description: J J is recruiting for a Lead- Data Automation and Excellence role based in their New Jersey Ireland locations on hybrid work model. The Technology Lead, Data Automation and Excellence is a senior individual contributor and technical leader responsible for leading a technology squad in the plan, design, monitor build and operation of high‑quality, scalable, and AI‑ready data assets. This role provides hands‑on technical leadership, drives automation of curating using AI agents for data management, sets engineering standards within the squad, and ensures alignment with enterprise architecture, platform patterns, and the SDLC toolchain. The Technology Lead combines deep data engineering expertise with strong architectural judgement, mentoring capability, and modern AI for Data management experience and knowledge. Major Duties Responsibilities: Solution Architecture Technical Enablement Responsible to drive solution architecture for data across ingestion, curation, and consumption layers. Guide squad members in problem‑solving complex technical challenges and support implementation of sound, scalable solutions. Shape technology standards and framework to ensure adherence to coding standards, architectural patterns, and data engineering best practices. Mentor and coach engineers to raise overall technical maturity and delivery quality within the squad. Lead the technical design of data assets using a medallion architecture (Bronze, Silver, Gold) working with the Technical Product owners within a federated data product squad model. Recommend and introduce improved technical approaches to data architecture, modelling tools, and solution design to enhance scalability and maintainability. Drive technical improvements in data curation practices using Change Data Capture (CDC) and event‑driven curation patterns. Design and guide implementation of event‑driven and streaming architectures, including Kafka‑based solutions integrated with batch pipelines. Operational Excellence SDLC Improve operational efficiency through optimization of CI/CD pipelines aligned with the enterprise SDLC toolchain. Promote automation working in partnership with information architects by introducing tools and AI driven capabilities across testing, deployment, data quality validation, and observability to reduce manual effort and operational support risk. Actively manage and prevent accumulation of technical debt while balancing delivery commitments. AI Enablement Data Readiness Apply data engineering best practices alongside strong AI and GenAI literacy, including: Prompt engineering and AI‑assisted development Large Language Models (LLMs) and GenAI concepts Data profiling and automated asset creation Collaborate with architects, platform teams, and product owners to ensure data products are designed with AI readiness and reuse in mind. Other Duties : Partner with Product Owners to refine technical requirements, define acceptance criteria, and support backlog shaping. Collaborate with other Lead Engineers to align on standards, manage cross‑squad dependencies, and resolve shared technical challenges. Stay current with emerging data engineering, streaming, and AI technologies and assess their applicability within the platform ecosystem. Support onboarding of new engineers by providing guidance on tools, frameworks, and engineering practices. Required Minimum Education : Bachelor’s Degree in Computing or similar discipline Required Knowledge, Skills and Abilities: Overall Experience Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 7 years experience in data engineering, including 3–5 years in a senior or technical lead role. Strong experience designing, building, and operating data pipelines across batch, streaming, and near‑real‑time use cases. 5 years experience working with modern layered or medallion architectures, ideally within a federated data product model. Proven