Data Architect

About Atos Group

Atos Group is a global leader in digital transformation with c. 67,000 employees and annual revenue of c. €10 billion, operating in 61 countries under two brands — Atos for services and Eviden for products. European number one in cybersecurity, cloud and high performance computing, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is the brand under which Atos SE (Societas Europaea) operates. Atos SE is listed on Euronext Paris.

The purpose of Atos Group is to help design the future of the information space. Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence. Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space.

As a Data Architect, you will be responsible for designing and optimizing data architecture and processing systems for our clients. You will create blueprints for data management, ensuring data is collected, stored, and processed efficiently to support data-driven decision-making and improve business performance.

Key Responsibilities:

• Design conceptual, enterprise, and logical data models across multiple domains.
• Define and select appropriate data platform technologies (e.g., Snowflake, BigQuery, Redshift, Databricks).
• Architect scalable and cost-efficient data pipelines using e.g. SQL, Python, and dbt.
• Align data architecture with enterprise systems and anticipate future changes (e.g., CRM or ERP migrations).
• Collaborate on ML and AI architecture, supporting technical solutions for advanced analytics.
• Integrate governance tools (e.g., Microsoft Purview) and define lineage and metadata management patterns.
• Work closely with stakeholders to translate business needs into technical solutions.
• Ensure compliance with data quality, security, and regulatory standards.
• Stay current with emerging trends in data engineering and analytics.

Your Profile:

• Minimum 8 years of experience with minimum 4 years of experience in data architecture roles.
• Strong understanding of modern data architectures (Lakehouse, Data Mesh).
• Experience working with cross-functional teams including data engineers, analysts, and scientists.