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 (Latina)
🏢 ENGIE
📍 Latina