Note: The job is a remote job and is open to candidates in USA. Johnson & Johnson is a leader in healthcare innovation, committed to improving health outcomes through advanced solutions. They are seeking a Data Engineering Manager to shape the data engineering strategy and technical vision for their Orthopaedics Supply Chain, focusing on modernizing the data landscape and delivering trusted data products.
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
Skills
- A Bachelor's or Master's degree in Computer Science, Engineering, Applied Mathematics, or in a related field
- 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
- 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
Benefits
- Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
- This position is eligible to participate in the Company’s 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
Company Overview
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