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 native services (e.g., GLUE, Lambda) or data management technologies (e.g., Talend, Informatica)
Participate in client design workshops and provide tradeoffs and recommendations
Mentor other engineers in coding best practices and problem solving
Required Skills
Proven experience in data analytics, preferably from consulting companies
Minimum of 5 years managing a team of BI/data analysts up to senior level
Experience with AWS cloud-native environment
Knowledge of Big Data architectures, cloud and on-premise
AWS infrastructure and networking experience
Experience with AWS Collection Services: Kinesis, Kafka, Database Migration Service
Experience with AWS Storage Services: S3, RDS, Redshift, DynamoDB
Experience with AWS Compute Services: EC2, Lambda, ECS, EKS
Experience building and delivering proofs-of-concept for specific business needs
Experience migrating workloads from on-premise to cloud
Experience monitoring distributed infrastructure using AWS tools or open-source tools like CloudWatch, Prometheus, ELK stack
Experience with Agile Methodology and Kanban
Strong skills in data manipulation and BI tools
Solid stakeholder management skills, with experience dealing with top management
Proactive, with exceptional problem-solving skills and ability to manage cross-functional teams in a collaborative environment