Lead Data Architect AWS

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Responsibilities

Data & Intelligence Business Line at NTT DATA is seeking a Lead Data Architect AWS.

Your role as a Lead Data Architect AWS will include:

• Managing key client relationships
• Managing relationships with AWS
• Leading the AWS Center of Excellence
• Leading Data & Analytics AWS projects
• Supporting recruitment efforts
• Supporting value proposition development
• Supporting the development of skills and capabilities, such as:

• Designing data platforms on AWS data stores like Redshift, DynamoDB, RDS, S3
• Designing operations architecture and conducting performance engineering for large-scale data lakes in production environments
• Applying the Well-Architected Framework to solution design and implementation
• Creating and maintaining optimal data pipeline architectures by designing and implementing data ingestion solutions on AWS using native services (e.g., GLUE, Lambda) or data management technologies (e.g., Talend, Informatica)
• Participating in client design workshops and providing trade-offs and recommendations for building solutions
• Mentoring other engineers in coding best practices and problem-solving

Required Skills

• Proven experience in data analytics, preferably from consulting firms
• At least 5 years of experience managing a team of BI/data analysts up to senior level
• Experience working in an AWS cloud-native environment
• Knowledge of Big Data architectures, both cloud and on-premise
• Experience with AWS infrastructure and networking
• Experience with AWS services such as Kinesis, Kafka, Database Migration Service
• Experience with AWS storage services like S3, RDS, Redshift, DynamoDB
• Experience with AWS compute services such as EC2, Lambda, ECS, EKS
• Experience in building and delivering proofs-of-concept to address 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 methodologies and Kanban
• Strong skills in data manipulation and BI tools
• Excellent stakeholder management skills, with experience dealing with top management
• Proactive, with exceptional problem-solving skills and the ability to manage cross-functional teams in a collaborative environment