AWS Data Architect: Data Lakes & Pipelines Lead

Ntt Data Italia; Bologna; Ibrido; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

NTT DATA Italia is seeking an experienced AWS Data Architect to support customers on AWS Data Platform projects. You will bridge data science and data engineering, collaborating with analysts and solution architects to define use cases, data needs, and outcomes.

You will design ingestion pipelines on AWS, optimize data models in Redshift/RDS/S3, and drive performance for large data lakes while mentoring other engineers and contributing to workshops with actionable tradeoffs.

Competenze

• 5+ years of AWS-focused data engineering/architecture experience.
• Strong knowledge of big data architectures in cloud and on-premise.
• Proficient in AWS services: S3, Redshift, RDS, DynamoDB.
• Experience with data ingestion, ETL/ELT and streaming (Kinesis, Kafka).
• Experience migrating workloads to cloud and building PoCs.
• Experience with Spark, Databricks, Azure Data Factory/Synapse.
• Proficient in Java, Scala, Python and shell scripting.
• Familiar with monitoring tools: CloudWatch, Prometheus, ELK.
• Agile/Kanban awareness.
• SQL knowledge.

Mansioni

• Create and maintain optimal data pipeline architecture on AWS.
• Design and optimize data models on AWS data stores.
• Design operations architecture and conduct performance engineering for large data lakes.
• Participate in client design workshops with tradeoffs and recommendations.
• Mentor engineers in coding best practices and problem solving.

Conoscenze

AWS

Big Data Architectures

Python

Java/Scala

SQL

Shell scripting

Spark/Databricks

Cloud migration

Agile/Kanban

Monitoring (CloudWatch/Prometheus/ELK)

Strumenti

Kinesis

Kafka

DMS

S3

Redshift

DynamoDB

EC2

Lambda

ECS

EKS

CloudWatch

Prometheus

ELK

Descrizione del lavoro

NTT DATA Italia is seeking an experienced AWS Data Architect to support customers on AWS Data Platform projects. You will bridge data science and data engineering, collaborating with analysts and solution architects to define use cases, data needs, and outcomes.

You will design ingestion pipelines on AWS, optimize data models in Redshift/RDS/S3, and drive performance for large data lakes while mentoring other engineers and contributing to workshops with actionable tradeoffs.