×
Register Here to Apply for Jobs or Post Jobs. X

Master Data Architect AWS

Job in 56100, Pisa, Toscana, Italy
Listing for: Altro
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    AWS, Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 135000 EUR Yearly EUR 90000.00 135000.00 YEAR
Job Description & How to Apply Below
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 infrastructure, using AWS tools or open source ones such as Cloud Watch, Prometheus, and the ELK stack

Working experience with Agile Methodology and Kanban

Strong in data manipulation and BI tools

Solid stakeholder management skills, have dealt with top management to drive various projects

Proactive in taking initiatives, exceptional problem-solving skills, strong presence to manage cross-functional teams and execute well in a highly collaborative role

Location :
Cosenza, Bari, Bologna, Milano, Napoli, Roma, Salerno, Torino, Treviso, Pisa

Build your future with NTT DATA.

Join a global company, a leader in business and technology services, that listens to your voice and recognizes the value of your work. You will collaborate with clients, partners, and colleagues from all over the world to create innovative solutions capable of making a real impact on society.

Here, you will have the opportunity to develop new skills and expand your network.

We are present in Italy with over 6,000 employees across our offices in Milan, Rome, Turin, Genoa, Bologna, Treviso, Pisa, Padua, Naples, Cosenza, Bari, and Salerno.

Make this the place where you grow.

Join us!

#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary