Senior AWS Master Data Architect for Data & Analytics

NTT DATA Europe & Latam; Treviso; On-site; EUR 90,000 - 120,000; Full time

Job summary

NTT DATA Europe & Latam is seeking a Master Data Architect AWS to lead data analytics initiatives on AWS. You will manage key client relationships, oversee the AWS Center of Excellence, and drive Data & Analytics projects in a large-scale production environment.

The role requires strong leadership in BI/analytics, deep AWS expertise (S3, Redshift, DynamoDB, EC2, Lambda, Kinesis) and experience migrating workloads to cloud. Collaboration with cross-functional teams is essential.

Qualifications

• Experience in data analytics, preferably from consulting firms.
• 5+ years leading BI/data analytics teams.
• Proven AWS cloud native experience and architecture knowledge.
• Knowledge of big data architectures, cloud and on-premise.
• AWS services: S3, RDS, Redshift, DynamoDB, EC2, Lambda, ECS, EKS.

Responsibilities

• Manage key clients and project relationships.
• Oversee relationships with AWS and the AWS Center of Excellence.
• Lead Data & Analytics AWS projects and initiatives.
• Support recruitment and value proposition.
• Develop skills and capabilities across the team (design and execution).

Skills

Data analytics

Team management

AWS

Big data

AWS networking

Kinesis

Kafka

DMS

S3

RDS

Redshift

DynamoDB

EC2

Lambda

ECS

EKS

POC development

Cloud migration

Monitoring

Agile

Data manipulation

BI tools

Stakeholder management

Cross-functional leadership

Education

Tools

Talend

Informatica

AWS Glue

Job description

NTT DATA Europe & Latam is seeking a Master Data Architect AWS to lead data analytics initiatives on AWS. You will manage key client relationships, oversee the AWS Center of Excellence, and drive Data & Analytics projects in a large-scale production environment.

The role requires strong leadership in BI/analytics, deep AWS expertise (S3, Redshift, DynamoDB, EC2, Lambda, Kinesis) and experience migrating workloads to cloud. Collaboration with cross-functional teams is essential.