Master Data Architect AWS
Pubblicato il 13-08-2026 - Ntt Data Europe & Latam in Treviso
Data & Intelligence Business Line NTT DATA is looking for a Master Data Architect AWS.
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 infrastr