Senior AWS Cloud Architect - AI-Ready, Scaled & Secure

Merck Healthcare

Mollet del Vallès

Presencial

EUR 90.000 - 120.000

Jornada completa

hace 24 horas
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Descripción de la vacante

Merck Healthcare is seeking a Senior AWS Cloud Architect to design scalable, secure cloud architectures for healthcare manufacturing and supply chain, turning business needs into reliable data, analytics, automation and AI solutions.

You will translate complex requirements into pragmatic designs, oversee platform architecture across a global matrix, and mentor teams while promoting responsible AI and observability practices.

Formación

  • Master's degree or equivalent professional experience.
  • 5–8 years of hands-on AWS cloud architecture and engineering.
  • Experience with data warehousing, data lake and cloud analytics.
  • Experience with AWS AI/ML services (SageMaker, Bedrock, etc.).
  • Security-focused designs; CI/CD with Azure DevOps and Git; IaC with CloudFormation.
  • 3+ years Docker/Kubernetes on AWS; knowledge of S3, Redshift, EMR.
  • Strong Python, SQL and PySpark skills for data pipelines.
  • Fluent English; AWS certifications desirable.

Responsabilidades

  • Design scalable, secure, AI-ready cloud architectures.
  • Translate requirements into pragmatic designs and patterns.
  • Oversee platform architecture across a global matrix.
  • Mentor teams and promote responsible AI adoption.

Conocimientos

Communication
Stakeholder engagement
Agile delivery
Python
SQL
PySpark
English proficiency

Educación

Master's degree (computer science/engineering/data science) or equivalent

Herramientas

AWS
Amazon SageMaker
Amazon Bedrock
AWS Lambda
API Gateway
Glue
Step Functions
Athena
Redshift
EMR
CloudFormation
Terraform
Docker
Kubernetes
S3
RDS

Descripción del empleo

Merck Healthcare is seeking a Senior AWS Cloud Architect to design scalable, secure cloud architectures for healthcare manufacturing and supply chain, turning business needs into reliable data, analytics, automation and AI solutions.

You will translate complex requirements into pragmatic designs, oversee platform architecture across a global matrix, and mentor teams while promoting responsible AI and observability practices.

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