Data Architect

Choosing Capgemini means choosing a company where you can shape your career and turn your ambitions into reality. Supported by a collaborative community of colleagues around the world, you will have the opportunity to reimagine what is possible and create meaningful impact. Join us to help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Ready to make your next career move?

Explore the full job description below to learn more about the Data Architect role, key responsibilities, and what it's like to be part of our team. If you're excited by what you see, we'd love to hear from you. Apply today and take the next step in your career journey. Not quite the right opportunity?

Keep in touch with us to stay connected and receive updates on future openings, career resources, and exciting opportunities tailored to your experience and aspirations.

Your role

As part of our project teams, you will contribute to implementing data integration solutions for major clients in the banking, insurance, energy, and industrial sectors. You will join a multidisciplinary team working in an Agile environment on projects with significant business impact.

As a Data Architect, your responsibilities will include:

• •Defining data architectures, such as Data Lakes, Data Warehouses, and Data Meshes, based on business and technical requirements.
• •Designing data models and integration flows in cloud and hybrid environments.
• •Ensuring the consistency, security, and performance of the data solutions implemented.
• •Collaborating with Data Engineering, Business Intelligence, Data Science, and enterprise architecture teams.
• •Implementing best practices for data governance, quality, and documentation.
• •Contributing to the selection of technologies and tools suited to each project.

Providing technical leadership to teams and contributing to technology monitoring around data

Your profile

• •Master's degree (Bac+5) in computer science or an equivalent field.
• •At least seven years of proven experience in data architecture or data engineering.
• •Strong command of data architecture, modeling, governance, and security concepts.
• •Good knowledge of cloud environments such as Azure, AWS, and GCP, as well as integration and orchestration tools.
• •Ability to design scalable, robust solutions aligned with business objectives.
• •Leadership, strong analytical skills, attention to detail, and the ability to work effectively as part of a team.
• •A cloud or data architecture certification would be an advantage.

Why you should consider joining us

• •Quality of working life: Benefit from remote-working opportunities in Morocco and internationally, autonomy in organizing your day-to-day work, and hybrid assignments tailored to your preferences.
• •Continuous learning: Access training and certifications dedicated to your technology, personalized support, and a structured onboarding journey.
• •Varied, high-impact projects: Work with major clients across a range of industries on stimulating business and technology challenges.
• •Expert ecosystem: Benefit from personalized technical guidance and active participation in our professional communities.

Our commitments and priorities

The Capgemini Group promotes an inclusive culture within a multicultural and disability-friendly environment. By joining us, you will become part of a community that values diversity, develops the potential of its people, supports community initiatives with its partners, and works to reduce its environmental impact across its sites and client engagements.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong heritage of over 55 years, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions, leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.