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Senior data architect

Barcelona
Indefinido
Johnson & Johnson
Publicada el 14 enero
Descripción

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. We pursue smarter and less invasive treatments, and our expertise in Innovative Medicine and MedTech positions us to innovate across the full spectrum of healthcare solutions, delivering breakthroughs and profoundly impacting health worldwide.

Job Function: Technology Enterprise Strategy & Security

Job Sub Function: Data Architecture

Job Category: Scientific/Technology

Primary Location: Barcelona, Spain

Secondary Location: Madrid, Spain

Employment Type: Full-Time

Experience: Senior IC (years unspecified)

Vacancy: 1

Position SummarySenior Data Science Solution Architect will lead the design of scalable, governed, and AI‐ready data systems that power data science and analytics across Discovery and Translational Research. This role bridges scientific workflows, data platforms, and AI environments to create a unified reproducible data foundation for R&D.

Key Responsibilities

Design and oversee the end‐to‐end data and workflow architecture integrating Nextflow/Snakemake pipelines with AWS S3, Snowflake, and TileDB.

Define standards and reference frameworks for pipeline structure, metadata, and governance integration.

Collaborate with Data Transformation, AI/ML, and Governance teams to align architecture with scientific and enterprise strategy.

Enable data scientists and AI tools to query harmonized datasets through scalable APIs and metadata‐driven design.

Evaluate and guide adoption of emerging data and AI technologies to ensure future‐ready systems.

Qualifications

MS/PhD in Computer Science, Data Science, Bioinformatics, or related field.

5 years of hands‐on industry experience building and managing production Nextflow pipelines (DSL2).

Proven expertise in data or solution architecture for analytics or R&D.

Proficiency with cloud data environments (AWS, Snowflake, TileDB).

Strong understanding of data governance, FAIR principles, and compliance frameworks.

Excellent collaboration and communication across science, engineering, and IT.

Strategic Impact

Unified reproducible pipeline architecture adopted across Discovery & Translational research.

Governed AI‐ready data accessible across modalities and teams.

Required Skills

Analytics insights

Business alignment

Business architecture

Critical thinking

Data architecture

Data migrations

Data savvy

Data visualization

Enterprise IT governance

Information security management system (ISMS)

Information technology strategies

Internal auditing

Organizing

Performance measurement

Prioritization of tasks

Strategic thinking

Talent management

Preferred Skills

Analytics insights

Business alignment

Business architecture

Critical thinkingData architecture

Data migrations

Data savvy

Data visualization

Enterprise IT governance

Information security management system (ISMS)

Information technology strategies

Internal auditing

Organizing

Performance measurement

Prioritization of tasks

Strategic thinking

Talent management

Key Skills

Fund Management

Drafting

End User Support

Infrastructure

Airlines

Catia

Required ExperienceSenior IC

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