Overview
As an AWS Data Architect at NTT DATA, you will design and implement data pipelines on AWS, aligning with business analysts and solution architects to meet data objectives.
You bridge Data Science and Data Engineering, shaping scalable data platforms and performant data lakes.
You'll lead architecture choices, guide tradeoffs in workshops, and mentor peers to uphold coding best practices.
This role offers impact across client projects and the chance to influence cloud data strategies at scale.
Responsabilità
Design and maintain data pipeline architectures on AWS using native services (Glue, Lambda) or data management tools (Talend, Informatica)
Model and optimize data schemas on AWS data stores (Redshift, DynamoDB, RDS, S3)
Architect operations and perform performance engineering for large-scale data lakes in production
Lead client design workshops, providing recommendations and tradeoffs for solution options
Mentor engineers in coding best practices and problem solving
Requisiti fondamentali
Cloud-native experience in GCP, AWS,

or Azure; 5+ years on AWS preferred
Experience with Big Data architectures and both cloud and on-premise contexts
AWS infrastructure and networking experience
AWS collection services: Kinesis, Kafka, DMS
AWS storage services: S3, RDS, Redshift, DynamoDB
AWS compute services: EC2, Lambda, ECS, EKS
POC delivery experience to address business needs
On-premises to cloud migration experience
Monitoring distributed infra with AWS tools or open-source tools (CloudWatch, Prometheus, ELK)
Proficiency in Java, Scala, Python, and shell scripting
Experience with Apache Spark, Databricks, Azure Data Factory, Azure Synapse
AWS Certifications: Solutions Architect and/or Data Analytics
Agile Methodology and Kanban
SQL knowledge
Source code management: AWS CodeCommit or GitHub
Mentoring
Cross-functional collaboration
Problem solving
AWS Glue
AWS Lambda
Redshift

Aws - Data Architect

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