AWS Data Architect for Real-Time Analytics & AI

ENGIE Italia; Roma (TX); On-site; USD 101,000 - 146,000; Full time

Job summary

ENGIE Italia is hiring a Data Architect in Rome to lead the migration from a legacy Azure/SSIS stack to a modern AWS-based data platform. You will design a centralized data platform for real-time analytics and time-series management, bridging legacy systems with new Python/AWS Glue pipelines.

You will mentor the team, define standards, and collaborate with Italian and French/Belgian teams to ensure a scalable, secure, and cloud-native data engineering approach.

Qualifications

• Bachelor's degree in STEM fields.
• 5+ years of Data Architecture and Data Engineering experience.
• Extensive AWS data services experience (Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena).
• Strong Python and SQL for modern pipeline development.
• Experience with Event-Driven Architectures and Timeseries data at scale.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Experience developing RESTful APIs for data exposure.

Responsibilities

• Architectural Design: Design and deploy the Centralized Data Platform on AWS, with real-time data acquisition and timeseries management.
• Migration Strategy: Refactor legacy SSIS packages and Stored Procedures into Python/AWS Glue pipelines.
• Data Lake Implementation: Create Data Lake layers on Amazon S3 (Bronze/Silver/Gold).
• AI Enablement: Integrate Amazon SageMaker and Athena for advanced analytics.
• Hybrid Connectivity: Implement secure Hybrid Cloud to sync Azure with AWS Landing Zone.
• Technical Leadership: Guide the team from SQL-centric development to Cloud-Native Data Engineering.

Skills

English proficiency

Active listening

Verbal communication

Written communication

Problem solving

Teamwork

Facilitation

Initiative

Learning ability

Dashboards reporting

Education

Bachelor's degree in STEM

Tools

AWS data stack

Terraform / CloudFormation

Python

SQL

RESTful APIs

Job description

ENGIE Italia is hiring a Data Architect in Rome to lead the migration from a legacy Azure/SSIS stack to a modern AWS-based data platform. You will design a centralized data platform for real-time analytics and time-series management, bridging legacy systems with new Python/AWS Glue pipelines.

You will mentor the team, define standards, and collaborate with Italian and French/Belgian teams to ensure a scalable, secure, and cloud-native data engineering approach.