Lead Data Engineer, MedTech Ecosystem & Pipelines

Johnson & Johnson Co.; Bogotá; On-site; COP 130,000,000 - 190,000,000; Full time

Job summary

Johnson & Johnson is recruiting for a Lead, Data Engineering to support the MedTech Supply Chain data ecosystem. You will lead the engineering of secure, scalable data pipelines and models, partnering with product, architecture, and governance teams to enable trusted data products for downstream business use.

The role requires delivering production-ready pipelines, driving engineering best practices, and ensuring reliability, performance, and lifecycle management in a regulated healthcare

Qualifications

• Bachelor’s degree in a related field is required.
• Experience with data pipelines, data models, and data governance is required.
• Strong collaboration with cross-functional teams in a matrixed environment.

Responsibilities

• Lead design, build, test, deploy, and support data pipelines and data services in the MedTech Supply Chain ecosystem.
• Translate requirements and architecture into engineering designs and executable backlog items.
• Design scalable ingestion, transformation, and serving patterns for batch, streaming, API, and event-driven use cases.
• Develop and maintain physical data models, schemas, and reusable engineering components for governed data products.
• Establish and enforce engineering standards for source control, CI/CD, testing, and observability.
• Lead root‑cause analysis and implement preventive improvements for data pipelines and platform reliability.

Education

Bachelor’s degree in computer science, engineering, information systems, data management, or related field

Job description

Johnson & Johnson is recruiting for a Lead, Data Engineering to support the MedTech Supply Chain data ecosystem. You will lead the engineering of secure, scalable data pipelines and models, partnering with product, architecture, and governance teams to enable trusted data products for downstream business use.

The role requires delivering production-ready pipelines, driving engineering best practices, and ensuring reliability, performance, and lifecycle management in a regulated healthcare