AWS - Data Architect

Responsibilities

For Data Intelligence, NTT DATA is looking for an AWS Data Architect.

Your role as an AWS Data Architect at NTT Data will involve supporting customers in AWS Data Platform projects, collaborating with business analysts and solution architects to understand use cases, data needs, and outcome objectives.

We seek an engineer who can bridge Data Science and Data Engineering, with a clear understanding of both fields.

Responsibilities:

• Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using native services such as AWS Glue and Lambda, or data management tools like Talend or Informatica.
• Design and optimize data models on AWS Cloud utilizing data stores such as Redshift, DynamoDB, RDS, and S3.
• Design operational architecture and perform performance engineering for large-scale data lakes in production environments.
• Participate in client design workshops, providing trade-offs and recommendations for building solutions.
• Mentor other engineers in coding best practices and problem-solving.

Requirements

Required Skills

• Experience in a cloud-native environment with one of the three major public clouds (GCP, AWS, Azure); at least 5 years of experience on AWS preferred.
• Knowledge of Big Data architectures, both cloud and on-premise.
• Hands-on experience with AWS infrastructure and networking.
• Proficiency with AWS storage services: S3, RDS, Redshift, DynamoDB.
• Experience with AWS compute services: EC2, Lambda, ECS, EKS.
• Experience in building and delivering proofs-of-concept to address specific business needs, utilizing appropriate techniques, data sources, and technologies.
• Experience migrating workloads from on-premise to cloud environments.
• Experience monitoring distributed infrastructure using AWS tools or open-source solutions like CloudWatch, Prometheus, and the ELK stack.
• Proven skills in Java, Scala, Python, and shell scripting.
• Experience with Apache Spark, Databricks, Azure Data Factory, Azure Synapse, and other Azure ETL/ELT tools.
• AWS certifications such as AWS Certified Solutions Architect and/or AWS Certified Data Analytics.
• Experience working with Agile methodologies and Kanban.
• Knowledge of SQL.
• Experience with source code management tools like AWS CodeCommit or GitHub.