AWS Data Architect for Real-Time Analytics & AI Pipelines

ENGIE; Roma; On-site; EUR 45,000 - 50,000; Full time

Job summary

ENGIE Italia seeks a Data Architect to drive migration from the legacy Azure SQL/SSIS to an AWS-based architecture in Rome. You will design a centralized data platform for real-time and timeseries data, and guide refactoring of legacy components into modern Python/AWS Glue pipelines.

You will design Data Lake layers on S3 (Bronze/Silver/Gold), enable AI agents with SageMaker, and implement a secure Hybrid Cloud strategy.

Qualifications

• Bachelor's degree in STEM disciplines (Computer Science, Engineering, Mathematics, Physics, Statistics, or related fields).
• At least 5 years of experience in Data Architecture and Data Engineering roles.
• Deep expertise in AWS Data Stack: Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena and other services.
• Excellent knowledge of Python and SQL for modern pipeline development.
• Experience in designing Event-Driven Architectures and managing Timeseries Data at scale.
• Experience with Infrastructure as Code (Terraform or CloudFormation).
• Experience in developing RESTful APIs for data exposure.
• Knowledge of energy market dynamics (MGP/MI/Gas) and trading processes.
• Experience with Amazon SageMaker and MLOps pipelines for AI model deployment.
• Proven experience with the Microsoft Data Stack (SQL Server, SSIS, SSAS Tabular).

Responsibilities

• Design and deploy the Centralized Data Platform on AWS, defining a modern architecture for real-time data acquisition (Streaming/Batch) and timeseries management.
• Migration: reverse engineer legacy SSIS packages and Stored Procedures; refactor into Python/AWS Glue pipelines.
• Design Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) for scalable data architecture.
• AI Enablement: support AI Agents and predictive models using SageMaker and Athena.
• Hybrid Connectivity: implement a secure Hybrid Cloud to sync data between legacy Azure and AWS during transition.
• Technical Leadership: mentor the team in transitioning from SQL-centric development to Cloud-Native Data Engineering.

Skills

AWS Data Stack

Python

SQL

Event-Driven

Infrastructure as Code

RESTful APIs

Timeseries Data

Data Engineering

Data Architecture

English Proficiency

Education

Bachelor's degree in STEM

Tools

SSIS

SSAS Tabural

SQL Server

AWS Glue

AWS Lambda

SageMaker

Job description

ENGIE Italia seeks a Data Architect to drive migration from the legacy Azure SQL/SSIS to an AWS-based architecture in Rome. You will design a centralized data platform for real-time and timeseries data, and guide refactoring of legacy components into modern Python/AWS Glue pipelines.

You will design Data Lake layers on S3 (Bronze/Silver/Gold), enable AI agents with SageMaker, and implement a secure Hybrid Cloud strategy.