Data Architect | Hybrid
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
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