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 / Beneficiosinclusion and belongingpersonal and career developmentglobal opportunitiesflexible working culture ResponsabilidadesDesign scalable, secure, and AI-ready cloud architectures for data and analytics solutionsAct as architectural partner for business and technology stakeholders across a general matrixCreate reusable blueprints and engineering patterns and guide cross-team deliveryOversee platform architecture, automation, and observability to support production solutionsPromote responsible adoption of cloud and AI capabilities and ensure security and guardrailsTranslate complex requirements into pragmatic designs, guidance, and standardsEvaluate AWS services, build proofs of concept,



define model integration and operationalization patternsProvide third-level support for manufacturing and supply chain applicationsMentor 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 experienceAt least three years of data warehousing, data lake, and cloud-native analytics experienceExperience with AWS AI/ML services (SageMaker, Bedrock, Lambda, API Gateway, Glue, Step Functions, Athena, Redshift, EMR) or comparable platformsAI-ready architectures with secure data access, model integration, prompt/API orchestration, retrieval augmented generation, observability and responsible AI guardrailsAPIs, 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, EMRStrong Python, SQL and PySpark for building scalable data pipelines and production-grade solutionsExcellent communication and stakeholder engagement, agile delivery, mentoring, cross-team collaboration, English fluencyAWS certifications are highly desirablecommunicationstakeholder engagementmentoringAmazon SageMakerAmazon BedrockAWS Lambda

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