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# Senior AWS Cloud Architect

- **Company:** Merck KGaA
- **Location:** Mollet del Vallès, Spain
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Microsoft Azure, Cloud Engineering, Continuous Delivery, Continuous Integration, Data Warehousing, Python (Programming Language), Machine Learning, Software Deployment, SQL Databases, Systems Integration, Cloud Platform System, Generative AI, AWS Lambda, Git, Cloudformation, Data Lakes, Pyspark, Information Technology, Api Gateway, Data Pipelines, Docker
- **Published:** September 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=debc481416669c4b

## About the Role

* 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!

## Description

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.