About the profile
We are seeking an experienced Cloud Solution Architect to design and deliver scalable, secure, and compliant cloud solutions supporting life sciences, bioinformatics, and data-intensive workloads. This role will focus on architecting and supporting high-performance computing (HPC) environments, enterprise data platforms, and governed data ecosystems aligned with FAIR principles and regulatory requirements (GxP, GDPR, HIPAA).
The idóneo candidate combines deep technical expertise in cloud-native HPC and data architectures with a strong understanding of life sciences workflows, data governance, and compliance frameworks.
Responsibilities
1. Solution Architecture & Strategy:
- Provide technical leadership across solution lifecycle (design → implementation → optimization):
- Lead technical discovery sessions and design reviews.
- Translate complex scientific and business requirements into scalable, production-ready solutions.
- Define end-to-end cloud architecture strategies for life sciences clients, aligning with business and scientific objectives.
- Lead architecture design for hybrid and cloud-native HPC platforms.
- Act as a trusted advisor, guiding clients through architecture decisions and industry best practices.
2. HPC & Accelerated Computing Platforms:
- Architect and deploy HPC environments.
- Design GPU-enabled architectures.
- Optimize for performance, scalability, and cost efficiency across distributed compute systems.
3. Enterprise Data & Analytics Platforms:
- Architect modern data platforms to support scientific and operational workloads.
- Design and implement:
- Data ingestion frameworks (ETL/ELT, streaming pipelines).
- Metadata and lineage management solutions.
- Align data platforms to FAIR principles for scientific data usability and reproducibility.
- Enable downstream use cases including analytics, AI/ML, and data science.