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

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.

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.

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.