Data Architect
Atos is hiring a Data Architect. Level rates it ; you can apply on Atos.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include Databricks.
- Level classifies it as a senior role.
- Level lists 609 other open roles at Atos.
- The role was posted within the past two weeks.
AI in this role
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.
- Excellent communication skills to bridge technical and non-technical stakeholders.
- Strategic mindset with the ability to align data initiatives with business goals.
- You have hands-on experience with modern data tools and platforms, including data warehousing solutions such as Snowflake, BigQuery, Redshift, and Databricks; programming languages like Python and SQL; transformation tools such as dbt; and cloud environments including Azure, AWS, and GCP.
- Fluent in Dutch and English.
What we offer:
- Participation in exciting consulting projects with room for innovation. Work on end-to-end digital and data transformation projects across various sectors, with impact from start to finish.
- Excellent career opportunities in a global organization, including international mobility.
- Personal and professional growth through certified training and access to the latest technologies.
- Competitive salary, and pension scheme.
- 29 vacation days per year.
- Flexible and hybrid working arrangements.
- An energetic and supportive team culture that values diversity.
Want to know more? Contact Daria Miteva at daria.miteva@atos.net.
Let’s grow together.
How we rate this
Data Architect at Atos rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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