AWS - Data Architect

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