Data Architect
24 ore fa
Latina, Lazio, Italia
ENGIE
Tempo pieno
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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
* 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