Cloud Data Architect: AWS, Real-Time Analytics & AI

ENGIE Italia; Roma; On-site; EUR 45,000 - 50,000; Full time

Job summary

ENGIE Italia is seeking a Data Architect in Rome to lead the migration from the legacy Azure SQL/SSIS ecosystem to a new AWS-based architecture. The role focuses on designing a centralized data platform, data lake layers, and AI-enabled analytics while guiding a cross-national team.

The ideal candidate has 5+ years in data architecture/engineering, strong AWS data stack expertise, and hands-on Python/SQL skills for modern pipeline development, with IaC experience.

Qualifications

• Bachelor’s degree in STEM disciplines or equivalent.
• At least 5 years of experience in Data Architecture and Data Engineering.
• Deep expertise in AWS Data Stack: Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena.
• Excellent knowledge of Python and SQL for pipeline development.
• Experience with Event-Driven Architectures and timeseries data at scale.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Experience in developing RESTful APIs for data exposure.

Responsibilities

• Design and deploy the Centralized Data Platform on AWS with real-time and batch data workflows.
• Lead migration of legacy SSIS to modern Python/AWS Glue pipelines.
• Design Data Lake storage layers (Bronze/Silver/Gold) on Amazon S3.
• Plan AI enablement with AWS SageMaker for AI Agents and analytics.
• Implement a secure Hybrid Cloud for data sync between Azure and AWS during transition.
• Mentor the team in migrating from SQL-centric development to Cloud-Native Data Engineering.

Skills

English proficiency

Communication

Teamwork

Problem solving

Education

Bachelor's degree in STEM

Tools

AWS Glue

AWS Lambda

AWS Kinesis

AWS S3

AWS DynamoDB

AWS Athena

Python

SQL

Terraform

CloudFormation

RESTful APIs

Job description

ENGIE Italia is seeking a Data Architect in Rome to lead the migration from the legacy Azure SQL/SSIS ecosystem to a new AWS-based architecture. The role focuses on designing a centralized data platform, data lake layers, and AI-enabled analytics while guiding a cross-national team.

The ideal candidate has 5+ years in data architecture/engineering, strong AWS data stack expertise, and hands-on Python/SQL skills for modern pipeline development, with IaC experience.