Lead Data Architect AWS

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Experteer Italy
Pisa
EUR 50.000 - 70.000
Sii tra i primi a mandare la candidatura.
Ieri
Descrizione del lavoro

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 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

Requirements

  • 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
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