24 sep
|
Merck
|
Mollet del Vallès
24 sep
Merck
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 / Incentivos
- inclusion and belonging
- personal and career development
- global opportunities
- versátil 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 - mollet del vallés (Mollet del Vallès)
🏢 Merck
📍 Mollet del Vallès