Senior AWS Data Architect - Data Lakes & Pipelines

NTT DATA Europe & Latam; Pisa; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

NTT DATA Europe & Latam is seeking an AWS Data Architect to support customers in AWS Data Platform projects. You will bridge Data Science and Data Engineering, understanding use cases and outcomes, while mentoring engineers in best practices.

The role emphasizes cloud-native design, data ingestion with AWS services, data modeling across Redshift/DynamoDB/RDS/S3, and large-scale data lake operations. Strong AWS experience and collaboration with analysts and solution architects are essential.

Competenze

• 5+ years of experience in cloud data architecture, with AWS focus preferred.

Mansioni

• Create and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services (GLUE, Lambda) or using data management technologies (Talend or Informatica)
• Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, DynamoDB, RDS, S3
• Design operations architecture and conduct performance engineering for large scale data lakes in production environment
• Participate in client design workshops and provide tradeoffs and recommendations towards building solutions.
• Mentor other engineers in coding best practices and problem solving

Conoscenze

Cloud data architecture

AWS

Python

Java/Scala

SQL

Big data technologies

Data modeling

ETL/ELT

Spark

Kinesis

Kafka

DynamoDB

Redshift

S3

RDS

EC2

Lambda

Prometheus

ELK

GitHub

Strumenti

AWS

GCP

Azure

Descrizione del lavoro

NTT DATA Europe & Latam is seeking an AWS Data Architect to support customers in AWS Data Platform projects. You will bridge Data Science and Data Engineering, understanding use cases and outcomes, while mentoring engineers in best practices.

The role emphasizes cloud-native design, data ingestion with AWS services, data modeling across Redshift/DynamoDB/RDS/S3, and large-scale data lake operations. Strong AWS experience and collaboration with analysts and solution architects are essential.