OverviewIn this role you shape the digital, data and information technology landscape for healthcare manufacturing and supply chain.
You'll design scalable, secure, AI-ready cloud architectures and translate business needs into reliable data, analytics, automation and ML solutions.
As a trusted partner, you'll guide global teams, drive platform architecture, and promote responsible AI adoption.
You'll deliver reusable patterns, advise on security and observability, and mentor colleagues to build high-quality, scalable systems.
Compensaciones / Beneficiosinclusion and belonging
personal and career development
global opportunities
flexible working culture
ResponsabilidadesDesign scalable, secure, and AI-ready cloud architectures for data and analytics solutions
Act as architectural partner for business and technology stakeholders across a general matrix
Create reusable blueprints and engineering patterns and guide cross-team delivery
Oversee platform architecture, automation, and observability to support production solutions
Promote responsible adoption of cloud and AI capabilities and ensure security and guardrails
Translate complex requirements into pragmatic designs, guidance, and standards
Evaluate AWS services, build proofs of concept, define model integration and operationalization patterns




Provide third-level support for manufacturing and supply chain applications
Mentor colleagues and foster knowledge sharing to improve scalability, resilience and cost efficiency
Requisitos principalesFive to eight years of hands-on AWS cloud architecture and engineering experience
At least three years of data warehousing, data lake, and cloud-native analytics experience
Experience with AWS AI/ML services (SageMaker, Bedrock, Lambda, API Gateway, Glue, Step Functions, Athena, Redshift, EMR) or comparable platforms
AI-ready architectures with secure data access, model integration, prompt/API orchestration, retrieval augmented generation, observability and responsible AI guardrails
APIs, deployment, integration patterns, CI/CD using Azure DevOps and Git, and infrastructure as code (CloudFormation)
Three+ years with Docker and Kubernetes on AWS, plus services like S3, Redshift, RDS, Glue, Step Functions, Lambda, EMR
Strong Python, SQL and PySpark for building scalable data pipelines and production-grade solutions
Excellent communication and stakeholder engagement, agile delivery, mentoring, cross-team collaboration, English fluency
AWS certifications are highly desirable
communication
stakeholder engagement
mentoring
Amazon SageMaker
Amazon Bedrock
AWS Lambda

📌 Senior Aws Cloud Architect (España)
🏢 Merck
📍 España