Overview

In 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 / Beneficios

- inclusion and belonging
- personal and career development
- general opportunities
- flexible working culture

Responsabilidades

- Design 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 principales

- Five 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 (Barcelona)
🏢 Merck
📍 Barcelona