Master Data Architect AWS

NTT DATA Group

Italia

Remoto

EUR 110.000 - 140.000

Tempo pieno

2 giorni fa

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Descrizione del lavoro

NTT DATA is seeking a Master Data Architect AWS to drive AWS-based data platform designs and lead data & analytics projects for key clients. You will manage relationships with AWS and the AWS Center of Excellence, shaping the data strategy and coordinating cross‑functional teams.

You will mentor engineers, support recruitment, and contribute to expanding skills in data platforms, ingestion pipelines, and well-architected designs across large-scale data lakes in production.

Competenze

Experience as a Master Data Architect or equivalent in cloud environments.
Strong data platform design experience on AWS including data stores and data lakes.
Familiarity with Well-Architected Framework and data ingestion pipelines.

Mansioni

Manage Key Clients and stakeholder expectations.
Maintain relationships with AWS and the AWS Center of Excellence.
Lead Data & Analytics AWS projects across client engagements.
Support recruitment and capability development.
Mentor engineers on coding best practices and design patterns.
Contribute to developing the value proposition for data solutions.

Conoscenze

Key client management

AWS relationships

CoE leadership

Data & Analytics leadership

Mentoring engineers

Recruitment support

Well-architected framework

Strumenti

AWS

Redshift

DynamoDB

RDS

Glue

Lambda

Talend

Informatica

Descrizione del lavoro

Master Data Architect AWS

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