Experteer 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 integral 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
• 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 Responsabilidades
• 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 Requisitos principales
• inclusion and belonging
• personal and career development
• global opportunities
• flexible working culture

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