Overview
In this Data Architect role, you will lead the migration from a legacy Azure SQL/SSIS setup to a modern AWS-based data platform. You'll design a real-time, scalable data foundation and data lake, enabling AI agents and advanced analytics. You'll mentor the team through cloud-native data engineering and drive alignment across international stakeholders. This is a strategic move supporting ENGIE's decarbonization and digital modernization.",
Responsabilità
- Design and deploy the centralized AWS data platform with real-time and timeseries capabilities
- Lead migration from legacy SSIS and stored procedures to Python/AWS Glue pipelines
- Design Data Lake layers (Bronze/Silver/Gold) on S3 to replace traditional cubes
- Define data foundation for AI agents and predictive models using SageMaker and Athena




- Implement secure Hybrid Cloud data synchronization between Azure and AWS Landing Zone
- Provide technical leadership and set standards for cloud-native data engineering across teams

Requisiti fondamentali
- Bachelor's degree in STEM
- ≥5 years in Data Architecture/Data Engineering
- Deep AWS Data Stack expertise (Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena)
- Excellent Python and SQL for building pipelines
- Experience with Event-Driven architectures and timeseries data at scale
- IaC experience (Terraform or CloudFormation)
- RESTful API development for data exposure
- Strong communication in English
- Active listening and collaboration
- Problem solving and practical thinking
- AWS Glue
- AWS Lambda
- AWS Kinesis

📌 Data Architect (Roma)
🏢 ENGIE
📍 Roma