Senior Solution Architect - AWS
CallistaJobsCloseBy Editorial Insights
Callista seeks a Senior Solution Architect AWS for a full-time on-site Basel role to design, migrate, and consolidate a large-scale sensor data platform for clinical trials on AWS. You’ll own end-to-end cloud architectures, data ingestion and processing for streaming and batch workloads, ensure secure, compliant designs, and collaborate with engineers and stakeholders to deliver scalable, cost-efficient solutions. Must have a BS or MS in a technical field, extensive hands-on AWS experience, and strong Python and SQL; nice-to-have CSV frameworks (for example GAMP5), regulated-industry experience, and AWS certifications. Start between March and December 2026, hybrid work. Tips: tailor your CV with quantified outcomes, highlight migration and data pipelines, emphasize regulatory and security expertise, and prepare architecture diagrams to discuss trade-offs.
Join a high-impact consolidation project at a global pharmaceutical company, designing, implementing, and migrating a large-scale sensor data platform for clinical trials. The platform supports the ingestion, storage, processing, and analysis of high-frequency sensor data.
Responsibilities include, but are not limited to:
Design end-to-end cloud architectures on AWS for a large-scale sensor data platform, ensuring scalability, reliability, security, and performance in a clinical trial environment.
Lead and support the consolidation of existing systems, including the migration of high-volume, high-frequency sensor data to a unified AWS-based platform.
Define and guide data ingestion, processing, and storage patterns for streaming and batch data, ensuring efficient handling of large sensor datasets.
Work hands-on with engineering teams to implement architectural designs, provide technical guidance, and ensure best practices are followed throughout the delivery lifecycle.
Ensure solutions comply with cloud security standards, data protection requirements, and regulatory expectations relevant to clinical trials and pharmaceutical environments.
Design and review solutions with a focus on performance, cost efficiency, and scalability to support growing data volumes and analytical workloads.
Collaborate closely with data engineers, software developers, quality, and business stakeholders to translate requirements into robust technical solutions.
Requirements
Requirements (Must-Have):
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related technical field, providing a solid foundation in system architecture, data management, and software design
Extensive hands-on experience with AWS services, including designing, deploying, and operating scalable, secure cloud architectures
Strong understanding of data engineering principles, including data ingestion, processing, storage, and optimization of large-scale data pipelines
Proficient programming skills in Python and SQL, with experience developing, optimizing, and maintaining data-driven and cloud-based solutions
Nice-to-Have:
Experience with CSV frameworks (e.g., GAMP5)
Previous work in regulated industries
AWS certifications
General conditions:
Start: March - December 2026
Workload: Full time 100%
Working arrangement: Hybrid
Work location: Basel, Switzerland
Apply Now to be part of an innovative project at the forefront of clinical trial data management.