Lead Data Ecosystem Engineer

Johnson & Johnson Co.; Bogotá; On-site; COP 90,000,000 - 150,000,000; Full time

Job summary

Johnson & Johnson is recruiting 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 data capabilities for trusted data products.

The Lead will partner with data product teams, architecture, platform engineering, and governance stakeholders to translate direction into production-ready pipelines, models, integrations, and

Qualifications

• Bachelor's degree in computer science, engineering, information systems, data management, or related field.
• 5+ years of progressive experience in data engineering or related technical discipline.
• Hands-on experience designing, building, testing, deploying production-grade data pipelines.
• Experience with modern data platforms, cloud storage, orchestration, SQL, APIs, and CI/CD.
• Experience with data quality controls, lineage, governance, and security within data solutions.
• Experience collaborating with product owners, architects, and governance teams in a matrixed environment.
• Experience in regulated healthcare/medical technology environments is preferred.
• Ability to lead technical delivery, manage ambiguity, and communicate tradeoffs clearly.

Responsibilities

• Lead the design, build, testing, deployment, and support of data pipelines and data services across the MedTech Supply Chain data ecosystem.
• Translate requirements into engineering designs, specifications, and executable backlog items.
• Design scalable ingestion, transformation, orchestration, storage, and serving for batch, streaming, API, and event-driven use cases.
• Develop and maintain physical data models, schemas, and reusable engineering components.
• Establish and enforce engineering standards for source control, automated testing, CI/CD, observability, and documentation.
• Implement data quality, lineage, metadata integration, auditability, and operational monitoring.
• Optimize workloads for reliability, performance, and cost; address technical debt and bottlenecks.
• Collaborate with architecture, platform, privacy, and governance teams to meet enterprise standards.
• Own engineering readiness for releases, including evidence, deployment plans, and runbooks.
• Lead root-cause analysis and preventive improvements for data pipeline issues.
• Coordinate dependencies across data engineers, platform teams, and stakeholders.

Skills

Data engineering

Cloud data platforms

SQL

Python

APIs

CI/CD

Data governance

Agile delivery

Team leadership

Education

Bachelor's degree in Computer Science

Tools

Git

CI/CD tools

APIs testing tools

Job description

Johnson & Johnson is recruiting 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 data capabilities for trusted data products.

The Lead will partner with data product teams, architecture, platform engineering, and governance stakeholders to translate direction into production-ready pipelines, models, integrations, and