AWS Master Data Architect — Lead Data Platform & Analytics

NTT DATA Europe & Latam; Puglia; On-site; EUR 70,000 - 120,000; Full time

Job summary

NTT DATA Europe & Latam is seeking a Master Data Architect AWS to lead data analytics initiatives in an AWS cloud environment. You will manage key client relationships, drive AWS-based data platform design, and lead AWS projects within a global Center of Excellence.

The role involves shaping data architectures, governance, and migration strategies while mentoring engineers and collaborating with cross-functional teams.

Qualifications

• 5+ years of experience in managing BI/data analytics teams
• Experience in AWS cloud native environment
• Strong knowledge of Big Data architectures, cloud and on premise
• Experience with AWS collection services: Kinesis, Kafka, DMS
• Experience with AWS storage: S3, RDS, Redshift, DynamoDB
• Experience with AWS compute: EC2, Lambda, ECS, EKS
• Proactive in leading cross-functional teams and mentoring engineers

Responsibilities

• Manage key clients and relationships with AWS
• Lead Data & Analytics AWS projects and Center of Excellence
• Support recruitment and development of skills and capabilities
• Design data platform on AWS data stores (Redshift, DynamoDB, RDS, S3)
• Design operations architecture and performance engineering for large scale data lakes
• Create and maintain data ingestion pipelines using AWS services and tools
• Mentor engineers in coding best practices and problem solving

Skills

Data analytics

Team management

AWS cloud

Stakeholder management

Agile/Kanban

Problem solving

Tools

AWS services

Kinesis

Kafka

DynamoDB

Redshift

S3

RDS

Lambda

EC2

ECS

EKS

CloudWatch

Prometheus

ELK stack

Talend

Informatica

Job description

NTT DATA Europe & Latam is seeking a Master Data Architect AWS to lead data analytics initiatives in an AWS cloud environment. You will manage key client relationships, drive AWS-based data platform design, and lead AWS projects within a global Center of Excellence.

The role involves shaping data architectures, governance, and migration strategies while mentoring engineers and collaborating with cross-functional teams.