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Data Architect

Pay
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Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design the new centralized AWS data platform with streaming and batch ingestion

  • Lead reverse engineering of SSIS packages and stored procedures into Python/Glue pipelines

  • Design S3 data lake layers (Bronze/Silver/Gold) to replace tabular cubes

  • Build the data foundation for AI agents and predictive models on SageMaker and Athena

  • Set up secure hybrid connectivity for data sync between Azure and AWS during transition

From the employer’s posting
Design and deploy the new Centralized Data Platform on AWS, defining a modern architecture for real-time data acquisition (Streaming/Batch)
Lead the reverse engineering of legacy SSIS packages and Stored Procedures, guiding the refactoring into modern Python/AWS Glue pipelines.
Design the Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) to replace rigid Tabular Cubes
Design the data foundation to support AI Agents and predictive models, integrating Amazon SageMaker and Athena for advanced analytics.
Implement a secure Hybrid Cloud strategy to ensure data synchronization between the legacy Azure environment and the new AWS Landing Zone during the transition.

What you’ll bring

All qualifications

Core experience

  • Bachelor's degree in STEM disciplines (Computer Science, Engineering, Mathematics, Physics, Statistics, or related fields)
  • Knowledge of energy market dynamics (MGP/MI/Gas) and trading processes.
  • Deep expertise in AWS Data Stack: specifically Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena and other services.
  • Experience with Amazon SageMaker and MLOps pipelines for AI model deployment.
  • Excellent knowledge of Python and SQL for modern pipeline development.
  • Proven experience with the Microsoft Data Stack (SQL Server, SSIS, SSAS Tabular), essential for understanding and migrating the legacy system.
Qualification wording
Bachelor's degree in STEM disciplines (Computer Science, Engineering, Mathematics, Physics, Statistics, or related fields)
Knowledge of energy market dynamics (MGP/MI/Gas) and trading processes.
Deep expertise in AWS Data Stack: specifically Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena and other services.
Experience with Amazon SageMaker and MLOps pipelines for AI model deployment.
Excellent knowledge of Python and SQL for modern pipeline development.
Proven experience with the Microsoft Data Stack (SQL Server, SSIS, SSAS Tabular), essential for understanding and migrating the legacy system.
Education & alternatives
ABOUT YOU: - 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.

About Engie Information Technologies SA

At ENGIE, every talent has a role to play in accelerating the energy transition.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20263 days ago
Recorded sightings
4
Last seen by us
Nov 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 55.

From 8,377 similar postings that came down. Coming down is not always a hire.

Engie Information Technologies SA is hiring

14 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • DynamoDB
  • Kafka
  • S3
  • SageMaker
  • SQL Server
  • Terraform
Where the posting names them
- Architectural Design: Design and deploy the new Centralized Data Platform on AWS, defining a modern architecture for real-time data acquisition (Streaming/Batch) and timeseries management using AWS services. Ability to manage the Infrastructure As Code processes. - Migration Strategy: Lead the reverse engineering of legacy SSIS packages and Stored Procedures, guiding the refactoring into modern Python/AWS Glue pipelines. - Data Lake Implementation: Design the Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) to replace rigid Tabular Cubes, ensuring scalability and flexibility.
- Deep expertise in AWS Data Stack: specifically 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.
WHAT WILL YOU DO?: The Data Architect will drive the migration from the legacy ecosystem (Azure SQL/SSIS) to a new AWS-based architecture. Responsibilities include: - Architectural Design: Design and deploy the new Centralized Data Platform on AWS, defining a modern architecture for real-time data acquisition (Streaming/Batch) and timeseries management using AWS services. Ability to manage the Infrastructure As Code processes.
- Hybrid Connectivity: Implement a secure Hybrid Cloud strategy to ensure data synchronization between the legacy Azure environment and the new AWS Landing Zone during the transition. - Technical Leadership: Mentor the internal team in the transition from SQL-centric development to Cloud-Native Data Engineering The candidate will act as the technical reference point for the migration project, working in collaboration with different teams, both Italian and French/Belgian. They will have autonomy in defining technical standards and architectural patterns
- Experience with Amazon SageMaker and MLOps pipelines for AI model deployment. - Proven experience with the Microsoft Data Stack (SQL Server, SSIS, SSAS Tabular), essential for understanding and migrating the legacy system. Therefore, skills needed are
WHO ARE WE LOOKING FOR? We are currently searching for Data Architect in S&EM Italy, based in Rome. The EM IS team provides new solutions or system integration and support to simplify and automize the business’ daily activities. The solutions are currently Microsoft-based, but a strategic move to a Modern AWS Cloud Platform is in progress. This transformation aims to enable Real-Time Analytics, AI Agents, and High-Frequency Trading support. ENGIE Supply & Energy Management (S&EM) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.
The Data Architect will drive the migration from the legacy ecosystem (Azure SQL/SSIS) to a new AWS-based architecture. Responsibilities include: - Architectural Design: Design and deploy the new Centralized Data Platform on AWS, defining a modern architecture for real-time data acquisition (Streaming/Batch) and timeseries management using AWS services. Ability to manage the Infrastructure As Code processes. - Migration Strategy: Lead the reverse engineering of legacy SSIS packages and Stored Procedures, guiding the refactoring into modern Python/AWS Glue pipelines.
- AI Enablement: Design the data foundation to support AI Agents and predictive models, integrating Amazon SageMaker and Athena for advanced analytics. - Hybrid Connectivity: Implement a secure Hybrid Cloud strategy to ensure data synchronization between the legacy Azure environment and the new AWS Landing Zone during the transition. - Technical Leadership: Mentor the internal team in the transition from SQL-centric development to Cloud-Native Data Engineering
- At least 5 years of experience in Data Architecture and Data Engineering roles. - Deep expertise in AWS Data Stack: specifically Glue, Lambda, Kinesis/Kafka, S3, DynamoDB, Athena and other services. - Excellent knowledge of Python and SQL for modern pipeline development.
- Migration Strategy: Lead the reverse engineering of legacy SSIS packages and Stored Procedures, guiding the refactoring into modern Python/AWS Glue pipelines. - Data Lake Implementation: Design the Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) to replace rigid Tabular Cubes, ensuring scalability and flexibility. - AI Enablement: Design the data foundation to support AI Agents and predictive models, integrating Amazon SageMaker and Athena for advanced analytics.
- Data Lake Implementation: Design the Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) to replace rigid Tabular Cubes, ensuring scalability and flexibility. - AI Enablement: Design the data foundation to support AI Agents and predictive models, integrating Amazon SageMaker and Athena for advanced analytics. - Hybrid Connectivity: Implement a secure Hybrid Cloud strategy to ensure data synchronization between the legacy Azure environment and the new AWS Landing Zone during the transition.
- 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), essential for understanding and migrating the legacy system.
- 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.

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Has Engie Information Technologies SA posted this job before?

Yes. We’ve followed one other Data Architect job there since November 2026. It is still up.

  1. RomeStill up after 3 days, first seen Nov 5
  2. This jobUp 3 days so far, first seen Nov 5

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 785, the most 1,205, and the latest week had 831.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

DATA ARCHITECT

 

WHO IS ENGIE?
ENGIE puts sustainable development at the center of its activities (electricity, natural gas, energy efficiency, and services) to meet the challenges of the energy transition to a low-carbon economy: access to a sustainable economy, climate change mitigation and adaptation, and resource optimization.

WHO ARE WE LOOKING FOR?
We are currently searching for Data Architect in S&EM Italy, based in Rome.

The EM IS team provides new solutions or system integration and support to simplify and automize the business’ daily activities. The solutions are currently Microsoft-based, but a strategic move to a Modern AWS Cloud Platform is in progress. This transformation aims to enable Real-Time Analytics, AI Agents, and High-Frequency Trading support.

ENGIE Supply & Energy Management (S&EM) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its Global Business Unit Supply & Energy Management (S&EM) who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

7,500 employees around the world develop our solutions, through 19 countries. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 3 expertise:

  • Asset management
  • Energy supply , providing green energy & innovative solutions
  • Risk management & market access

At S&EM we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

WHAT WILL YOU DO?:

The Data Architect will drive the migration from the legacy ecosystem (Azure SQL/SSIS) to a new AWS-based architecture. Responsibilities include:

  • Architectural Design: Design and deploy the new Centralized Data Platform on AWS, defining a modern architecture for real-time data acquisition (Streaming/Batch) and timeseries management using AWS services. Ability to manage the Infrastructure As  Code processes.
  • Migration Strategy: Lead the reverse engineering of legacy SSIS packages and Stored Procedures, guiding the refactoring into modern Python/AWS Glue pipelines.
  • Data Lake Implementation: Design the Data Lake storage layers on Amazon S3 (Bronze/Silver/Gold) to replace rigid Tabular Cubes, ensuring scalability and flexibility.
  • AI Enablement: Design the data foundation to support AI Agents and predictive models, integrating Amazon SageMaker and Athena for advanced analytics.
  • Hybrid Connectivity: Implement a secure Hybrid Cloud strategy to ensure data synchronization between the legacy Azure environment and the new AWS Landing Zone during the transition.
  • Technical Leadership: Mentor the internal team in the transition from SQL-centric development to Cloud-Native Data Engineering

The candidate will act as the technical reference point for the migration project, working in collaboration with different teams, both Italian and French/Belgian. They will have autonomy in defining technical standards and architectural patterns

ABOUT YOU:

  • 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: specifically 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.

Desirable:

  • 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), essential for understanding and migrating the legacy system.

 

Therefore, skills needed are

  • Excellent command of written and spoken English for working in international contexts.
  • Interactive behavior: Active Listening and verbal and written communication skills.
  • Problem solving: Issues perception, analyzing, practical thinking, creativity, innovation and the ability to work both in a team and independently.
  • Personal effectiveness: Facilitation skills, pragmatism and pro-activity, resilience to stress, taking initiative, learning ability.
  • Ability to communicate complex results to technical and non-technical stakeholders through dashboards and reports. 

Type of contract:

Permanent contract according to local labour law.

 

ABOUT ENGIE:

At ENGIE, every talent has a role to play in accelerating the energy transition. Make a difference and enjoy a fulfilling professional experience. Take on exciting challenges and build a career path that reflects who you are.

Join us and be part of the adventure of the century!

Our commitment is clear: We support a social model that balances economic performance with positive impact on people and the planet. We bet on the power of community and act as part of a community committed to disrupting and reinventing the future. Diversity and inclusion are at the core of our corporate culture. ENGIE is committed to combating all forms of discrimination in employment, access to training and promotion. Therefore, the integration and support of youth, adults, and people with disabilities, regardless of gender, ethnicity, or religion, are key priorities of human resources policy.

Recognized for 2025 by Sole24Ore as a leading company in diversity & inclusion, the ISO 30415:2021 and UNI PDR 125:2022 certifications are further proof of our commitment.

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Roma, IT, 40966

- AI Enablement: Design the data foundation to support AI Agents and predictive models, integrating Amazon SageMaker and Athena for advanced analytics. - Hybrid Connectivity: Implement a secure Hybrid Cloud strategy to ensure data synchronization between the legacy Azure environment and the new AWS Landing Zone during the transition. - Technical Leadership: Mentor the internal team in the transition from SQL-centric development to Cloud-Native Data Engineering
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