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Salary
≈ $61k – $139k per year (Estimated)
Location
In office (Barcelona)
Seniority
Architect · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Sep 22, 2026. Merck Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Merck Group is a global science and technology company headquartered in Darmstadt, Germany. The company operates across three primary business sectors: Healthcare, Life Science, and Electronics, delivering innovative medicines, laboratory solutions, and advanced materials. Through its focus on research and technology, it advances medical treatments, supports biopharmaceutical production, and drives key innovations in semiconductor manufacturing worldwide.

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your Role

Ready to shape the future of digital, data and information technology in healthcare manufacturing and supply chain? As Senior AWS Cloud Architect, you will design and implement scalable, secure and AI ready cloud architectures that turn business needs into reliable data, analytics, automation, machine learning and generative AI solutions. You will act as a trusted architectural partner for business and technology stakeholders, create reusable blueprints and engineering patterns, and guide internal and external teams from concept through delivery. Working across a global matrix, you will oversee platform architecture, strengthen automation and observability, support production solutions, and promote responsible adoption of cloud and AI capabilities.

You will translate complex requirements into pragmatic solution designs, implementation guidance and standards aligned with security, enterprise architecture and responsible AI principles. You will evaluate AWS services, build proof of concepts, define model integration and operationalization patterns, and provide third level support for manufacturing and supply chain applications. By mentoring colleagues and sharing knowledge, you will help teams deliver high quality solutions with the right balance of scalability, resilience, performance, reusability and cost efficiency.

Who You Are

  • A master's degree in computer science, engineering, data science or a comparable discipline, or equivalent professional experience.
  • Five to eight years of hands on experience in AWS cloud architecture and engineering, including at least three years working with data warehousing, data lake and cloud native analytics concepts.
  • Practical experience with AWS artificial intelligence and machine learning services, including Amazon SageMaker, Amazon Bedrock, AWS Lambda, API Gateway, Glue, Step Functions, Athena, Redshift and EMR, or comparable enterprise platforms.
  • Experience designing AI ready architectures with secure data access, model integration, prompt and API orchestration, retrieval augmented generation patterns, observability and responsible AI guardrails.
  • Strong expertise in APIs, application deployment, integration patterns, continuous integration and continuous deployment using Azure DevOps and Git, plus infrastructure as code using CloudFormation or comparable tooling.
  • At least three years of experience with container architectures, Docker and Kubernetes on AWS, together with strong knowledge of services such as S3, Redshift, RDS, Glue, Step Functions, Lambda and EMR.
  • Strong Python, SQL and PySpark skills, with experience building scalable applications, data processing pipelines, monitoring, alerting, health checks and production grade solutions.
  • Strong communication and stakeholder engagement skills, experience in agile delivery, mentoring and cross team collaboration, plus professional fluency in English. AWS certifications are highly desirable.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

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