Lead Data Architect AWS

NTT
Torino 17-09-2025

Lead Data Architect AWS

NTT Torino 17-09-2025
Riassunto

Località

Torino

Divisione Aziendale

Tipo di contratto

Data di pubblicazione

17-09-2025

Descrizione Lavoro

Social network you want to login/join with:ResponsibilitiesData & 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 ClientsManage the relationships with AWSManage the AWS Center of ExcellenceLead Data & Analytics AWS projectsSupport RecruitmentSupport Value PropositionSupport Development of skills and capabilities, such as:Design Data Platform on AWS data store such as Redshift, DynamoDB, RDS, S3Design operations architecture and conduct performance engineering for large-scale data lakes in production environmentApply the Well-architected framework to the solution design and implementationCreate and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services (such as GLUE, Lambda) or 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 solvingRequired SkillsProven experience in the field of data analytics, preferably from consulting companiesMinimum of 5 years of experience managing a team of BI/data analysts up to senior levelWorking experience in AWS cloud native environmentExperience and knowledge of Big Data Architectures, both cloud and on-premiseAWS infrastructure and networking experienceAWS Collection Services: Kinesis, Kafka, Database Migration ServiceAWS Storage Services: S3, RDS, Redshift, DynamoDBAWS Compute Services: EC2, Lambda, ECS, EKSExperience in building and delivering proofs-of-concept to address specific business needs, using appropriate techniques, data sources, and technologiesExperience migrating workloads from on-premise to cloud environmentExperience monitoring distributed infrastructure, using AWS tools or open source tools such as CloudWatch, Prometheus, and the ELK stackExperience working with Agile Methodology and KanbanStrong data manipulation and BI tools skillsSolid stakeholder management skills, with experience dealing with top management to drive projectsProactive initiative-taking, exceptional problem-solving skills, and ability to manage cross-functional teams in a collaborative environment
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