Senior AWS Cloud Architect
hace 2 días
Mollet del Vallès
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, • 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 (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