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Senior Solution Architect - AWS

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Job Description - Senior Solution Architect - AWS

Job description

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.

Job 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.

 

 

Details

Hybrid
  • Basel, Switzerland
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