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Master Data Architect AWS

Pubblicato il 17-08-2026 - Altro in Cosenza

Your Contribution In This Role Manage Key Clients
Manage the relationships with AWS
Manage the AWS Center of Excellence
Lead Data & Analytics AWS projects
Support Recruitment
Support Value Proposition
Support Development of skills and capabilities, such as:
Design Data Platform on AWS data store such Redshift, DynamoDB, RDS, S3
Design operations architecture and conduct performance engineering for large scale data lakes in production environment
Apply the Well-architected framework to the solution design and implementation
Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services (such as GLUE, Lambda) or using data management technologies (such as Talend or Informatica)
Participate in client design workshops and provide tradeoffs and recommendations towards building solutions.
Mentor other engineers in coding best practices and problem solving
The ideal profile
Proven experience in the field of data analytics, preferably from Consulting companies




Minimum of 5 years of experience in managing a team of BI/data analysts up to senior level
Working experience in AWS cloud native environment
Experience and knowledge of Big Data Architectures, cloud and on premise
AWS infrastructure and networking working experience
AWS Collection Services: Kinesis, Kafka, Database Migration Service
AWS main Storage Service: S3, RDS, Redshift, DynamoDB
AWS main Compute Service: EC2, Lambda, ECS, EKS
Experience in building and deliver proofs-of-concept, in order to address specific business needs, using the most appropriate techniques, data sources and technologies
Working experience in migrating workloads from on premise to cloud environment
Experience in monitoring distributed infrastructure, using AWS tools or open source ones Experience in monitoring distributed infrastructure, using AWS tools or open source ones such as CloudWatch, Prometheus, and the ELK stack
Working experience with Agile Methodolog

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