Manager Data Engineering

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.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Engineering

Job Category:

People Leader

All Job Posting Locations:

Mooresville Indiana United States of America New Brunswick New Jersey United States of America Palm Beach Gardens Florida United States of America Raritan New Jersey United States of America Raynham Massachusetts United States of America Remote (US) Warsaw Indiana United States of America West Chester Pennsylvania United States of America

Job Description:

About Orthopaedics

Fueled by innovation at the intersection of biology and technology were 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 thats 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 Supply Chain is recruiting for a Data Engineering Manager located in Warsaw IN Raynham MA Raritan NJ West Chester PA Palm Beach Gardens FL. Remote work may also be considered in certain situations.

Whats 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 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 Bachelors or Masters 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 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 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 :

$102000.00 - $177100.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Companys long-term incentive program.

Subject to the terms of their respective policies and date of hire employees are eligible for the following time off benefits:

Vacation 120 hours per calendar year

Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado 48 hours per calendar year; for employees who reside in the State of Washington 56 hours per calendar year

Holiday pay including Floating Holidays 13 days per calendar year

Work Personal and Family Time - up to 40 hours per calendar year

Parental Leave 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave 80 hours in a 52-week rolling period10 days

Volunteer Leave 32 hours per calendar year

Military Spouse Time-Off 80 hours per calendar year

For additional general information on Company benefits please go to: - Experience:

Manager