Lead, Ecosystem Engineer

Johnson & Johnson Co.; São Paulo; Vor Ort; BRL 200.000 - 350.000; Vollzeit

Zusammenfassung

Johnson & Johnson is seeking a Lead, Data Engineering to anchor the MedTech Supply Chain data ecosystem. The role translates business needs into scalable data pipelines, data models, and platform services enabling trusted analytics and downstream consumption.

You will collaborate with product owners, architecture, governance, and platform teams, driving engineering excellence, CI/CD, and operational readiness while mentoring engineers in a regulated healthcare environment.

Qualifikationen

• Bachelor’s degree in computer science, engineering, information systems, data management, or related field.
• 5+ years of data engineering, software engineering or data platform delivery experience.
• Hands-on with production-grade data pipelines and data models.
• Experience with modern data platforms, cloud storage, SQL, APIs, CI/CD.
• Experience with governance, data quality, lineage, security controls.
• Experience in regulated healthcare or life sciences preferred.
• Ability to lead delivery and communicate tradeoffs clearly.

Aufgaben

• Lead design, build, test, and support of data pipelines and data services.
• Translate requirements into engineering designs and backlog items.
• Design scalable ingestion, transformation, and serving patterns.
• Maintain physical data models, schemas, and contracts.
• Enforce engineering standards for source control, tests, CI/CD.
• Implement data quality controls and monitoring.
• Address bottlenecks and optimize data workloads.
• Collaborate with governance, privacy, and architecture teams.
• Provide technical direction and coaching to engineers.
• Lead root-cause analysis and preventive improvements.

Kenntnisse

Advanced Analytics

Data Engineering

Data Governance

Data Modeling

Data Quality

Leadership

Developing Others

Ausbildung

Bachelor’s degree in CS/Engineering

Advanced degree preferred

Tools

SQL

Python

APIs

CI/CD

Jobbeschreibung

Company Overview

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 Information

Job Function: Marketing

Job Sub Function: Product Management

Job Category: Professional

All Job Posting Locations: São Paulo, Brazil

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements.

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, auditability, and operational monitoring in alignment with governance and product requirements.
• Optimize data workloads for reliability, scalability, performance, and cost, and proactively address technical debt, processing bottlenecks, and platform constraints.
• Partner with architecture, platform, privacy, and compliance teams to ensure technical solutions meet enterprise standards and applicable control requirements.
• Own engineering readiness for releases, including test evidence, deployment plans, production validation, incident response procedures, runbooks, and operational handoff.
• Lead root-cause analysis and resolution for data pipeline, integration, platform, and production reliability issues, and implement preventive improvements.
• Coordinate dependencies across data engineers, platform teams, source-system owners, and consuming applications to support predictable delivery and clear technical ownership.
• Provide technical direction, coaching, and quality oversight to assigned engineers and delivery partners, promoting reusable patterns, disciplined execution, and continuous improvement.

Qualifications

• A minimum of a Bachelor’s degree in computer science, engineering, information systems, data management, or a related field is required; an advanced degree is preferred.
• A minimum of 5 years of progressive experience in data engineering, software engineering, data platform delivery, systems integration, cloud data solutions, or a related technical discipline is required.
• Hands‑on experience designing, building, testing, deploying, and supporting production‑grade data pipelines, transformations, integrations, and physical data models is required.
• Experience with modern data platforms, distributed processing, cloud storage, orchestration, SQL, APIs, source control, automated testing, and CI/CD practices is required.
• Experience implementing operational monitoring, data quality controls, metadata, lineage, security, access controls, and auditability within data solutions is required.
• Experience partnering with product owners, architects, platform teams, cybersecurity, privacy, governance, and business stakeholders in a matrixed enterprise environment is required.
• Experience operating in a regulated healthcare, life sciences, medical technology, GxP, CSV, or similarly controlled environment is preferred.
• Demonstrated ability to lead technical delivery, manage ambiguity, resolve complex engineering issues, and communicate technical tradeoffs in clear business terms is required.
• Technical leadership, coaching, or formal/informal team direction experience is preferred.

Preferred Skills (List1)

• Cloud and lakehouse data engineering
• Data pipeline orchestration and systems integration
• Physical data modeling and transformation design
• SQL, Python, APIs, and reusable engineering frameworks
• DevOps, CI/CD, automated testing, and infrastructure configuration
• Data quality, metadata, lineage, observability, and production operations
• Agile delivery, estimation, backlog refinement, and sprint execution
• Secure engineering, privacy, compliance, and enterprise technology governance
• Technical leadership, problem solving, and cross‑functional collaboration

Other

This position may require up to 10% domestic or international travel based on business needs.

Required Skills (List2)

• Advanced Analytics
• Agility Jumps
• Compliance Management
• Data Architecture Development
• Data Engineering
• Data Governance
• Data Modeling
• Data Privacy Standards
• Data Quality
• Data Science
• Developing Others
• Hybrid Clouds
• Inclusive Leadership
• Leadership
• Motivating People
• Standard Operating Procedure (SOP)
• Technologically Savvy
• Workflow Management

Culture / Accessibility

Throughout the recruitment process - from application through hiring - we are committed to providing reasonable accommodations/adjustments for qualified candidates with disabilities. If you need support at any stage of the recruitment process, please complete our candidate accommodation request form so we can assist you.

Company Overview (reiterated)

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 https://www.jnj.com/. Our Credo calls on us to respect the dignity of every individual and create an environment for all people to thrive.