Scientific Computing Cloud Architect

RCH Solutions • Radnor Township, PA

1d • Remote

About The Position

RCH Solutions is 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 ideal 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. While RCH Solutions Architects will oversee teams implementing scoped solutions and act as an escalation point for team members, they will also drive the hands-on implementation and deployment of solutions and troubleshooting efforts.

Requirements

• 10–12+ years of experience in cloud architecture, infrastructure, or platform engineering
• Cloud Professional Certification(s)
• Proven expertise in: HPC administration (Slurm or similar), GPU-enabled computing environments, Linux system architecture and administration
• Strong experience designing enterprise data platforms and data pipelines
• Knowledge of: Data governance, metadata management, and data lifecycle frameworks, Security and compliance standards (GxP, HIPAA, GDPR)
• Experience working in client-facing or consulting environments
• Excellent communication and cross-functional collaboration skills
• Familiarity with: Bioinformatics workflows (e.g., genomics pipelines), Scientific workflow orchestration tools
• Experience with: Containerization (Docker) and orchestration (Kubernetes), Distributed storage systems and high-performance file systems, Azure CycleCloud or equivalent HPC orchestration platforms
• Programming/scripting: Python, Bash, or similar

Nice To Haves

• Experience in life sciences, biotech, or healthcare data environments

Responsibilities

• 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
• Architect and deploy HPC environments
• Design GPU-enabled architectures
• Optimize for performance, scalability, and cost efficiency across distributed compute systems
• 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
• Design compliant architectures aligned with: GxP validation frameworks, HIPAA data protection requirements, GDPR privacy and data handling guidelines
• Implement enterprise-grade: Access controls and IAM strategies, Data encryption, auditing, and traceability
• Support documentation and validation requirements for regulated workloads
• Act as a trusted advisor to clients
• Facilitate architecture workshops, design reviews, and technical discovery sessions
• Bridge business, scientific, and engineering teams to ensure aligned outcomes
• Provide hands-on guidance during POCs, migrations, and production deployments
• Contribute to solution proposals, roadmaps, and technical strategy development
• Promote automation and infrastructure-as-code practices (Terraform, Ansible)
• Encourage best practices for: Performance optimization, Cost management, Security and governance
• Mentor engineering teams and support capability development

Benefits

• A competitive salary and bonus package based on experience.
• Comprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.
• Company-provided Life and Long-Term Disability Insurance.
• Company-sponsored 401(k) Plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed