Location : Barcelona, Spain (Hybrid: 1-3 days in the office per week)
Duration : 6 Months (Extendable)
Employment Type : Contract B2B
About the Role :
We are seeking a skilled Data Architect to support the design, implementation, and optimization of data architecture solutions across pharmaceutical operations, including manufacturing, supply chain, quality, and commercial areas. The ideal candidate has a strong foundation in enterprise data architecture, governance frameworks, and modern data platforms, with a focus on regulatory compliance and enabling data-driven decision-making.
Key Responsibilities :
- Design logical and physical data models for operational datasets (e.g., batch records, inventory, QC, MES, ERP).
- Support data integration strategies across manufacturing, logistics, and quality systems.
- Collaborate with data engineers and business analysts to deliver reusable data pipelines and curated datasets.
Data Governance & Compliance :
- Implement data governance standards aligned with GxP, 21 CFR Part 11, and ALCOA+ principles.
- Define and maintain metadata, data dictionaries, and lineage tracking using enterprise tools.
- Work with compliance and QA teams to support audits, validation, and data quality monitoring.
- Contribute to architecture and implementation of cloud data platforms such as Snowflake, Azure Data Lake, or AWS S3.
- Support data mesh / fabric initiatives for decentralized access while ensuring centralized governance.
- Apply FAIR data principles to ensure data assets are discoverable and usable across teams.
Analytics & AI / ML Enablement :
- Collaborate with analytics and data science teams to structure operational data for AI / ML use cases (e.g., predictive maintenance, quality optimization, yield analysis).
- Ensure architecture supports real-time and batch analytics workloads in cloud environments.
Required Skills & Experience :
- 6–10 years of experience in data architecture or related roles.
- Pharmaceutical or life sciences experience strongly preferred.
- Experience with manufacturing or supply chain systems (e.g., LIMS, MES, SAP) - Nice to have.
- Proficient in cloud-based platforms (e.g., Snowflake, Azure, AWS) and data modeling tools.
- Familiarity with data governance frameworks and regulatory data requirements.
- Working knowledge of Python, SQL, or similar for data manipulation and transformation.
Preferred Qualifications :
- Experience in data catalog and governance tools (e.g., Collibra, Alation, Informatica).
- Exposure to data mesh, data fabric, or data lakehouse architecture.
- Understanding of pharmaceutical regulatory environments and audit readiness.
J-18808-Ljbffr