Data Architect

Job description

Position Description:

Join CGI!

Founded in 1976, CGI is among the largest IT and business consulting services firms in the world. We leverage deep expertise and strong delivery to help accelerate our clients’ digital transformation. Across 21 industries and 400 locations worldwide, our 93,000 professionals provide end-to-end, scalable, and sustainable IT and business consulting services delivered locally.

Position Description

As a Data Architect, you will be part of our team within the Data & Analytics area, collaborating in the design, development, and optimization of data architectures and pipelines that enable advanced analytics and business insights. You will work in agile, cross-functional teams to deliver high-quality, scalable data solutions.

Responsibilities

• Design and develop data architectures, pipelines, and datasets for analytics and reporting.
• Work with large, structured and unstructured datasets to ensure data quality, consistency, and accessibility.
• Collaborate closely with data engineers, data scientists, and business teams in an agile environment.
• Support BI reporting and dashboard development through well-structured data models.
• Ensure compliance with data governance and GDPR guidelines.
• Contribute to knowledge sharing, documentation, and continuous improvement initiatives.

Key Requirements

• 2+ years of experience as a Data Architect in agile, cross-functional teams.
• Expertise in data management architecture and development.
• Strong knowledge of SQL, Python, and data science libraries such as Pandas and PySpark.
• Experience with Data Warehouse design, BI reporting, and dashboard development.
• Basic understanding of machine learning methods.
• Fundamentals of GDPR.
• Collaborative mindset, curiosity, and problem-solving orientation.
• Ability to work effectively in agile environments.
• Fluent English.

Nice to Have

• Degree or vocational training in Computer Science, Data Engineering, or related fields.
• Certifications or experience in cloud data platforms (e.g., Azure, AWS, GCP).
• Previous experience with analytics or data governance projects.
• Interest in continuous learning and new technologies.
• Familiarity with big data or distributed computing environments.

What We Offer

• Permanent contract.
• Continuous training and access to official certifications.
• Work modality: Remote.
• Participation in the company’s share purchase plan from day one.
• Opportunity to work on innovative projects with major clients.
• Flexible compensation plan: childcare voucher, meal voucher, transportation card, etc.
• Life and accident insurance.
• Collaborative environment and growth-oriented culture.
• Flexible career path tailored to your goals.
• Internal knowledge communities.

Here you will find a place where you can be yourself, innovate, and grow.
A place where your voice matters and your ideas become reality.

Skills:

·  Azure Data Factory
·  Data Architecture
·  English
·  Python
·  Data Warehousing
·  Pandas
·  Spanish

What you can expect from us:

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

Come join our team—one of the largest IT and business consulting services firms in the world.