Data Architect
il y a 6 jours
Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group's shipping and logistics expertise to bring humanitarian supplies around the world.
Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.
YOUR ROLE
We are seeking a highly skilled and experienced Data Architect to join our dynamic team. The ideal candidate will be responsible for designing, creating, deploying, and animating our organization's data architecture.
This role requires a deep understanding of data architecture & management principles, database design, and data integration concepts.
WHAT ARE YOU GOING TO DO?
• Develop and implement data architecture strategies that align with Group data strategy & business goals
• Define and apply data architecture standards
• Create and maintain data models (conceptual, logical), data flow diagrams, and other documentation
• Collaborate with cross-functional teams to understand data requirements and define best data architecture solutions aligned with enterprise architecture standards and methodologies in place
• Provide guidance/support to data engineers
• Work in close collaboration with Enterprise & Solution Architects, Data Science, Data Governance & Data Management experts
• Put in place required Data architecture committees (Design authority, etc...) to ensure appropriate respect of standards
• Evaluate and recommend new technologies and tools to address Analytics & AI use cases.
WHO ARE WE LOOKING FOR?
• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• Proven experience as a Data Architect
• Deep expertise with data modeling & data warehousing (incl. Data vault 2.0 methodology), and ETL processes
• Experience with cloud-based data solutions (e.g., AWS, Google Cloud, Snowflake)
• Knowledge of machine learning and AI concepts
• Knowledge of Analytics concepts & tools (Qlik)
• Proficiency in data governance, data management practices & tools (Data catalog - Collibra / At-lan / CastorDoc, Data Quality & Observability - Sifflet, MDM - Semarchy)
• Excellent analytical and problem-solving skills
• Strong communication and teamwork abilities
Come along on CMA CGM's adventure
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