Ireland, Indiana, United States
Hybrid
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:
Data Analytics & Computational SciencesJob Sub Function:
Data EngineeringJob Category:
People LeaderAll Job Posting Locations:
Dublin, IrelandJob Description:
About Orthopaedics
Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.
Are you passionate about improving and expanding the possibilities of Orthopaedics? Ready to join a team that’s reimagining how we heal? Our Orthopaedics teams help keep more than 6 million people moving each year while delivering clinical and economic value to surgeons and healthcare systems. Our teams build solutions for joint reconstruction; trauma and craniomaxillofacial; sports, extremities, and elective foot and ankle; spine; and robotics and digital surgery.
Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech
Purpose:
Orthopedics Supply Chain is recruiting for a Data Engineering Manager located in Warsaw, IN, Raynham, MA, Raritan, NJ, West Chester, PA, Palm Beach Gardens, FL and Ireland. Remote work may also be considered in certain situations.
What's in it for you?
As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical vision that powers digital products across the Orthopaedics Supply Chain. You will lead the Data Foundation initiative to modernize the current data landscape and build a scalable lakehouse architecture using Databricks and cloud technologies. In this role, you will drive architecture, engineering standards, governance, and execution to deliver trusted, reusable, and business-ready data products.
You will also provide technical leadership for business separation activities, ensuring that data architecture, pipelines, and platforms are designed to support future-state organizational needs while maintaining continuity, scalability, and delivery excellence.
This position requires strong leadership across architecture design, engineering governance, vendor delivery, and cross-functional collaboration to translate strategy into measurable business outcomes. If you are energized by building modern data capabilities that improve healthcare operations and enable better decisions at scale, this is an opportunity to make a meaningful impact.
Key Responsibilities:
Lead the Data Foundation initiative to modernize the enterprise data ecosystem through a scalable lakehouse architecture and cloud-based data platform capabilities
Define the data engineering strategy, target architecture, and reusable pipeline frameworks needed to deliver governed, high-quality data products
Develop the strategy for a Data Supermarket that delivers business-ready data products for use across multiple functions.
Translate complex business requirements and technical challenges into scalable architecture decisions and executable delivery plans
Provide technical leadership for business separation activities, ensuring alignment to future-state operating models and platform continuity
Establish and enforce best practices for:
Data modeling (dimensional, Data Vault 2.0)
Pipeline design, modularity, and reuse
Engineering standards and quality controls
Establish and scale data governance, data quality, and observability practices, including monitoring, lineage, reliability, and service-level expectations
Define and implement automated testing strategies for data pipelines, including validation, data quality controls, and CI/CD integration
Lead development and orchestration using Databricks, Python, SQL, dbt, Airflow, and cloud-native tools
Partner with vendors and internal teams to manage delivery, enforce standards, and drive outcome-based execution
Collaborate across Product, Supply Chain business, AI/ML, Data Governance, and IT teams to deliver measurable business impact
Qualifications
Education:
A Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or in a related field.
Experience and Skills:
Required:
Minimum of 8 years of experience in data engineering, including 2 or more years in leadership or people management roles
Strong hands-on technical experience with:
Databricks, PySpark, Spark SQL
Python and SQL development
Cloud platforms (Azure preferred, AWS acceptable)
Proven expertise in:
Modern data architecture and platform design
Dimensional modeling and Data Vault 2.0
Experience with:
dbt, Airflow, Azure Data Factory (or equivalent tools)
CI/CD pipelines, automation frameworks, and testing practices
Required experience designing and implementing automated testing strategies for data engineering pipelines, including:
End-to-end pipeline validation
Data quality and integrity testing
Integration with CI/CD pipelines
Experience leading distributed teams and partnering effectively with external vendors and cross-functional stakeholders
Preferred:
Experience supporting Agile product delivery teams and mentoring engineers in complex, fast-paced technical environments
Familiarity with end-to-end supply chain domains such as planning, manufacturing, procurement, and distribution within MedTech or a similar regulated industry
Knowledge of enterprise systems of record such as ERP, MES, and PLM, including experience working with fragmented or legacy data environments
Experience with:
Lakehouse architecture and Delta Lake
Data observability and monitoring frameworks
Experience collaborating with AI/ML and advanced analytics teams to enable scalable data and model-ready pipelines
Knowledge of Power BI or enterprise BI platform
Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to:
Accelerate pipeline development
Automate engineering workflows
Exposure to code generation, pipeline automation, or low-code data engineering accelerators
Leadership Competencies
Strong strategic thinking paired with a track record of execution excellence
Ability to lead effectively in an outcome-driven, product-centric operating model
Excellent communication, stakeholder management, and influencing skills across technical and business audiences
Proven ability to translate complex architectures into executable delivery plans
Focus on standardization, scalability, and engineering excellence
This position may require up to 20% travel domestic and international
Johnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months, subject to legal requirements, including consultation with works councils and other employee representative bodies, as may be required, regulatory approvals and other customary conditions and approvals.
Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.
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, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
#LIHybrid #JNJData Engineering #LI-PN2
Required Skills:
Preferred Skills:
Advanced Analytics, Agility Jumps, Compliance Management, Data Engineering, Data Governance, Data Modeling, Data Privacy Standards, Data Science, Developing Others, Emerging Technologies, Execution Focus, Hybrid Clouds, Inclusive Leadership, Leadership, Resource Allocation, Team Management, Technical Development, Technologically Savvy
The anticipated base pay range for this position is:
€70,100.00 - €121,210.00
Benefits:
In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Moreover, we offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well-being reimbursement, programs for financial, physical and mental health. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location’s eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers.
*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.
Additional information:
In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.Want to know if this job is worth applying to?
