Lead, Ecosystem Engineer

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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:
Marketing

Job Sub Function:
Product Management

Job Category:
Professional

All Job Posting Locations:
Bogotá, Distrito Capital, Colombia, São Paulo, Brazil

Job Description:

Job Description Summary

Johnson & Johnson is recruiting for a Lead, Data Engineering to support the MedTech Supply Chain data ecosystem.

Reporting to the Senior Manager, Ecosystem Product Owner, this role will lead the physical engineering and implementation of secure, scalable, governed, and reusable data capabilities that enable trusted data products and downstream business consumption.

The Lead will partner closely with the Ecosystem Product Owner, data product teams, architecture, platform engineering, and governance stakeholders.

The role is accountable for translating approved functional direction and architecture into production-ready pipelines, data models, integrations, and platform services, while establishing the engineering practices required for reliable operation, performance, and lifecycle management.

Key Responsibilities


* Lead the detailed design, build, testing, deployment, and ongoing support of physical data pipelines, transformations, integrations, and data services across the MedTech Supply Chain data ecosystem.



* Translate functional requirements, logical data mappings, architecture standards, and product priorities into engineering designs, technical specifications, delivery estimates, and executable backlog items.



* Design and implement scalable ingestion, transformation, orchestration, storage, and serving patterns for batch, streaming, API, and event-driven data use cases, as applicable.



* Develop and maintain physical data models, schemas, transformation logic, interface contracts, and reusable engineering components that support governed data products and consistent downstream consumption.



* Establish and enforce engineering standards for source control, code review, automated testing, CI/CD, environment promotion, infrastructure configuration, observability, and technical documentation.



* Implement data quality controls, reconciliation checks, lineage capture, metadata integration, a...