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 general 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 global 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 - Merck (Barcelona)
🏢 Merck
📍 Barcelona