Lead Data Architect AWS

Pisa 01-01-2026

Lead Data Architect AWS

AiGot Pisa 01-01-2026
Riassunto

Località

Pisa

Divisione Aziendale

Tipo di contratto

Data di pubblicazione

01-01-2026

Descrizione Lavoro

Join to apply for the Lead Data Architect AWS role at NTT DATA Europe & Latam
Responsibilities
Data & Intelligence Business Line NTT DATA is looking for a Lead Data Architect AWS.
Your role as a Lead Data Architect AWS will be to:

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

Required Skills

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 such as CloudWatch, 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

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology
IT Services and IT Consulting

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