Manager Data Platform - Ireland

Johnson & Johnson MedTech; Ringaskiddy; Hybrid; EUR 120,000 - 170,000; Full time

Job summary

Johnson & Johnson is seeking a Data Platform Manager to own the strategy, architecture, and roadmap for a modern data platform enabling analytics and AI across Orthopedics. You will lead the Data Foundation initiative, building a scalable lakehouse using Databricks, cloud services, and medallion architecture, while ensuring governance and production readiness across teams.

This is a hybrid position with collaboration across global sites, including Ringaskiddy, Cork, Ireland.

Qualifications

• Minimum 6 years of relevant data engineering or platform experience.
• Proven experience leading design, implementation, or modernization of a data platform.
• Strong hands-on expertise with Databricks, PySpark, Spark SQL, and cloud services.

Responsibilities

• Own and translate business needs into platform capabilities and roadmaps.
• Lead design of a scalable Databricks lakehouse with medallion architecture.
• Establish data engineering governance, testing, and CI/CD practices.
• Oversee data observability, reliability, and security across pipelines.
• Manage internal engineers and vendor partners to deliver outcomes.

Skills

Databricks

PySpark

Spark SQL

Python

SQL

Delta Lake

Azure

AWS

dbt

Airflow

Azure Data Factory

AWS Glue

CI/CD

Data governance

Data observability

Team leadership

Education

Bachelor's degree in CS/Engineering

Tools

Power BI

ERP/MES/PLM familiarity

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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

Data Analytics & Computational Sciences

Job Sub Function

Data Engineering

Job Category

People Leader

All Job Posting Locations

Ringaskiddy, Cork, Ireland

Job Description

DePuy Synthes is recruiting for a Data Platform Manager located in Raynham, Massachusetts; New Brunswick, New Jersey; Palm Beach Gardens, Florida; Indianapolis, Indiana; Warsaw, Indiana; Cork, Ireland

Please note that this role may be available across multiple countries and may be posted under different requisition numbers to align with local requirements. Candidates should apply to the posting aligned with their preferred location.

US: R-103858

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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/.

Johnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company, operating as DePuy Synthes. The planned separation is subject to legal requirements, regulatory approvals, and other customary conditions and approvals.

Should you accept this position, it is anticipated that, following conclusion of the transaction, you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes, programs, policies, and benefit plans. Details of any planned changes would be provided at an appropriate time and subject to any vital consultation processes.

What's in it for you?

As a Data Platform Manager, you will own the strategy, architecture, engineering standards, and roadmap for the modern data platform that enables trusted data products, digital applications, analytics, and AI across Orthopedics. You will lead the Data Foundation initiative to overhaul the current data ecosystem and establish a scalable lakehouse using Databricks, cloud services, and medallion architecture.

You will create reusable ingestion, transformation, testing, governance, and observability capabilities that allow teams to onboard data and deliver business-ready products consistently and efficiently. You will also provide technical leadership for business separation activities, ensuring platform continuity and alignment with future-state interpersonal needs.

This role combines strategic platform ownership with hands‑on technical leadership, people and vendor management, and multi-functional partnership. If you are energized by building reusable platform capabilities and turning strategy into measurable business outcomes, this is an opportunity to make a substantial impact.

Key Responsibilities

• Own and implement the Data Platform and Data Foundation strategy, target architecture, roadmap, engineering standards, and measurable outcomes.
• Lead the design and evolution of a scalable Databricks lakehouse using medallion architecture, reusable data products, and cloud-native services.
• Design, build, and scale reusable, metadata-driven data ingestion and data pipeline frameworks, including batch and streaming patterns, source onboarding, transformation, orchestration, schema evolution, auditability, and embedded data‑quality controls.
• Establish platform engineering standards for data modeling, code quality, automated testing, CI/CD, documentation, security, performance, cost efficiency, and production readiness.
• Design and implement the data engineering governance framework in partnership with Data Governance, embedding ownership, business definitions, policy controls, architecture reviews, data quality, certification, lineage, and traceability into engineering workflows and data products.
• Implement end-to-end data observability and operational governance, including monitoring, reliability, service-level expectations, incident prevention, and lifecycle management.
• Enable analytics and AI teams with governed, reusable, and AI-ready data while maintaining alignment with the Enterprise AI Platform and business digital-product teams.
• Provide technical governance and architectural oversight for business separation and transition activities, protecting continuity while enabling independent future-state platforms.
• Translate sophisticated business and digital-product needs into platform capabilities, manageable work packages, delivery roadmaps, and outcome-based execution plans.
• Lead internal engineers and delivery partners; set technical direction, review solution quality, dependencies and risks, and build sustainable internal capability.

Qualifications

A minimum of a Bachelor’s degree and/or equivalent University degree is required; a focused degree in Computer Science, Engineering, Applied Mathematics, Information Systems or a related field is preferred. Masters degree preferred

Experience and Skills

• Minimum of six (6) years of relevant professional work experience
• Multifaceted experience in data engineering or data platforms, including in technical leadership, people management, or platform ownership roles.
• Validated experience in leading the design, implementation, or modernization of a data platform or lakehouse and converting strategy into an executable roadmap.
• Strong hands‑on expertise with Databricks, PySpark, Spark SQL, Python, SQL, Delta Lake, and cloud data services, with Azure and/or AWS experience.
• Demonstrated experience designing reusable ingestion and data pipeline frameworks, including orchestration and integration with dbt, Apache Airflow, Azure Data Factory, AWS Glue, or comparable tools.
• Strong knowledge of data architecture and modeling, including dimensional modeling, star and snowflake schemas.
• Experience defining and implementing automated testing strategies for data engineering code and pipelines, including unit, integration, regression, reconciliation, data‑quality testing, and CI/CD integration.
• Experience establishing engineering governance, coding standards, release controls, documentation expectations, architecture reviews, and production-readiness practices for distributed data teams.
• Experience implementing data observability across pipelines and products, including monitoring, lineage, reliability, alerting, and service-level management.
• Experience leading distributed teams and governing external vendors or managed‑service partners against architecture standards, quality expectations, achievements, and business outcomes.
• Ability to communicate sophisticated platform concepts to technical and business collaborators and influence decisions in a matrixed organization.

Preferred

• Experience with Fivetran or similar managed data integration and change‑data‑capture platforms.
• Experience building a data platform that supports federated business teams, self‑service analytics, certified data products, and AI‑ready consumption patterns.
• Familiarity with end‑to‑end supply chain domains such as planning, manufacturing, procurement, quality, and distribution within MedTech or another regulated industry.
• Knowledge of enterprise systems of record such as ERP, MES, PLM, and planning platforms, including experience modernizing fragmented or legacy data environments.
• Experience integrating a data platform with Power BI, semantic models, data marketplaces or catalogs, and AI/ML platforms.
• High‑level understanding of web and digital application architecture, APIs, integration patterns, and vendor‑led application delivery.
• Experience using AI‑assisted engineering tools such as GitHub Copilot, Cursor, Claude Code, or similar tools to accelerate development, automate repetitive work, and improve engineering quality.
• Experience supporting Agile product teams, mentoring engineers, and building reusable platform capabilities embraced across multiple business functions.

Other

• This is a hybrid position. The selected candidate will be required to work