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 / Ventajas inclusion and belonging personal and career development global 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 (Sage Maker, 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 Dev Ops and Git, and infrastructure as code (Cloud Formation) Three+ years with Docker and Kubernetes on AWS, plus services like S3, Redshift, RDS, Glue, Step Functions, Lambda, EMR Strong Python, SQL and Py Spark 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 Sage Maker Amazon Bedrock AWS Lambda

📌 Senior Aws Cloud Architect - Merck (Mollet del Vallès)
🏢 Jobrapido
📍 Mollet del Vallès