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ID:  533420

Marseille, FR

Global Senior Data Architect

CEVA Logistics provides global supply chain solutions to connect people, products and providers all around the world. Present in 170 countries and with more than 110,000 employees spread over 1,300 sites, we are well on our way to achieving our vision: to be a Top 5 global 3PL.

We believe that our employees are the key to our success. We want to engage and empower our diverse, global team to co-create value with our customers through our solutions in contract logistics and air, ocean, ground, and finished vehicle transport. That is why CEVA Logistics offers a dynamic and exceptional work environment that fosters personal growth, innovation, and continuous improvement.

DARE TO GROW! Join CEVA Logistics, and you will be part of a team that values imagination, encourages boldness and exemplarity, and is committed to excellence in everything we do. Join us in our mission to shape the future of global logistics as we become a global leader in the logistics industry. As we continue growing at a fast pace, will you “Dare to Grow” with us?








Based in France (Marseille or Puteaux).






The Senior Data Architect will join the Global IT Data and Digital organization at CEVA Logistics within the Global CIO organization and will report to the Head of the CEVA Global Data Factory.


This role operates in complex decision-making environments impacting the CEVA enterprise, works with senior management from IT, BD and Operations to ensure the best possible global solutions are available for our customers and CEVA employees alike.


The data architect will operate in the context of the set of the new Cloud Data Platform of CEVA and will contribute to its set up, development and growth and built up of the internal teams and resources of data architects and data analysts.


Main Responsabilities:


  • Developing and implementing an overall organizational data strategy in line with business processes. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.
  • Identifying data sources, both internal and external, and working out a plan for data management that is aligned with organizational data strategy.
  • Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise data system.
  • Managing end-to-end data architecture, from selecting the platform, designing the technical architecture, and developing the application to finally testing and implementing the proposed solution.
  • Planning and execution of big data solutions using appropriate technologies and ensure their full lifecycle and interoperability.
  • Defining and managing the flow of data and dissemination of information within the organization.
  • Integrating technical functionality, ensuring data accessibility, accuracy, and security.
  • Conducting a continuous audit of data management system performance, refine whenever required, and report immediately any breach or loopholes to the stakeholders.






  • Master's degree in computer science or equivalent work experience
  • Minimum of 10 years of experience in IT systems design or development.
  • Minimum 5 years of experience gained in data architecture and delivering large scale analytics data platforms environments.
  • Knowledge of systems development, including system development life cycle, project management approaches and requirements, design and testing techniques
  • Proven experience in design and building data models, data domains and understanding business data products (proficiency in data modeling and design, including SQL development and database administration).
  • Understanding of predictive modeling, AI models and technologies, Data mining, visualization and Machine Learning
  • Ability to implement common data management and reporting technologies, as well as the basics of columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
  • Strong and broad knowledge of latest technology stacks and trends, cloud-based data platforms and data lakes (preferably AWS and Snowflake technologies)
  • Experience with data integration methods and technologies (e.g., ETL, Data Virtualization, Master Data Management, Data Warehouse/Lakehouse).
  • Understanding of business strategy and ability to deliver recommendations in sync with key objectives and experience in developing and driving IT roadmaps.
  • Capacity to coordinate and collaborate with users, system designers, and developers in their day-to-day functions. As such, soft skills like effective communication, team management, problem-solving, and leadership are highly desirable.
  • Strong analytical skills and business acumen, ideally in the logistics sector.
  • Fluent English and proven practice.





  • Permanent contract.
  • Hybrid work: 4 days at the office and 1 remote.
  • Competitive salary.



You will work for one of the world 's leading logistics operators that will help you in your career development by offering you multiple opportunities. 


You will receive on the job training that help you to better understand operational processes.






We offer professional opportunities for you to develop in CEVA. We value your professional and personal growth.


Join CEVA for a challenging carrer.


CEVA Iberia is committed to attracting, acquiring and retaining the best possible candidates in an equitable and inclusive manner that is consistent with labor laws and best practices.

As a global organization, and as part of the CMA CGM Group, diversity is critical to our business success; only when we can reflect the cultures, languages, behaviors and local knowledge of our customers, we can succeed. By employing people with different experiences and abilities, we expand our knowledge and increase our creativity and innovation. 

Please note:  Legitimate CEVA Logistics recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn or via an official company email address: We recommend that you do not respond to unsolicited business propositions and/or offers from people with whom you are unfamiliar.

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