Senior Data Architect

hace 19 horas

Cornellà de Llobregat Barcelona provincia, España Johnson & Johnson A tiempo completo

**Job Function**:
Technology Enterprise Strategy & Security
**Job Sub Function**:
Data Architecture
**Job Category**:
Scientific/Technology
**All Job Posting Locations**:
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Data Science Solution Architect. This position has a primary location of Barcelona, Spain. The secondary location is Madrid. This role is hybrid.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work in teams that save lives by developing the medicines of tomorrow.

**Position Summary**:
Senior 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.

JRDDS

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