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Lead Data Architect AWS

NTT DATA Europe & Latam

Cosenza

Ibrido

EUR 60.000 - 80.000

Tempo pieno

30+ giorni fa

Descrizione del lavoro

Un fornitore di servizi IT leader nel mondo cerca un Lead Data Architect AWS. Il ruolo include la gestione di clienti chiave, relazioni con AWS e la guida di progetti Data&Analytics. Richiesta esperienza in analisi dei dati e gestione di team. Opportunità di lavorare in una cultura aziendale focalizzata sul benessere e sviluppo delle competenze.

Competenze

  • Esperienza comprovata nel campo dell'analisi dei dati, preferibilmente in società di consulenza.
  • Minimo 5 anni di esperienza nella gestione di un team di analisti BI/dati.
  • Esperienza lavorativa in ambiente cloud AWS.

Mansioni

  • Gestire Clienti Chiave.
  • Gestire le relazioni con AWS.
  • Guidare progetti Data&Analytics su AWS.

Conoscenze

Analisi dei dati
Gestione del team
Ambiente AWS
Architetture Big Data
Networking AWS
Servizi di migrazione AWS
Monitoraggio infrastrutture
Scrum e Kanban

Strumenti

AWS
Talend
Informatica
CloudWatch
Prometheus
ELK stack
Descrizione del lavoro

NTT DATA, Trusted Global Innovator, is a leading worldwide IT services provider with more than 140,000 professionals in over 50 countries. We focus on digital transformation, offering tailored technological and innovative solutions. The engine of NTT DATA is the people, with a Smile Working Company culture that prioritizes care, listening, wellbeing and skill development.

Guardiamo al nostro domani con la stessa passione di ieri e abbiamo bisogno anche del tuo talento. Visit our site: www.nttdata.com/it

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 as 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, to address specific business needs, using 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 (e.g., CloudWatch, Prometheus, ELK stack)
  • Working experience with Agile Methodology and Kanban
  • Strong in data manipulation and BI tools
  • Solid stakeholder management skills, with experience dealing with top management to drive projects
  • Proactive, with exceptional problem-solving skills and the ability to manage cross-functional teams in a highly collaborative role
Location

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

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