Lead Data Architect H/F CMA CGM

THE ROLE

We are seeking a Lead Data Architect to secure the urbanization of our data platform and industrialize the delivery of high quality data products.
Your primary mission is to design and govern a coherent, scalable data architecture that accelerates time to value for Analytics and AI use cases by ensuring that reliable and well certified data are delivered through a robust end to end process.
As a Lead, you will not only define the target data architecture and standards but also manage and coor-dinate a team of Data Architects (external resources initially): you will monitor their work, ensure con-sistency across domains, and build a strong data architecture community and capabilities over time.

WHAT ARE YOU GOING TO DO?

1. Leadership & Team Management (Data Architects)

o Promote Data Architecture strategy & vision
o Lead and coordinate a pool of Data Architects (primarily external partners)
o Plan, prioritize, and allocate architecture work across initiatives and domains to maximize impact and coherence
o Ensure consistency of architectural approaches, models, and deliverables across all Data Architects
o Provide day to day guidance, coaching, and feedback to Data Architects to develop their expertise and align them with Group standards
o Define and monitor expectations and deliverables
o Build and ensure proper animation of the Data Architecture community (rituals, best practice sharing, documentation, training)
o Ensure alignment with Group data strategy and Enterprise architecture principles

2. Data Architecture:

o Update and maintain the target data platform architecture to build the Single Source of Truth and support current and future Analytics & AI needs
o Urbanize the data landscape by structuring domains, data products, and shared capabili-ties
o Enforce reference architectures, design patterns, and standards across data domains and platforms (e.g., data lake, enterprise data warehouse, data domain factories...)

3. Data Modeling:

o Define modeling standards, patterns, and best practices (conceptual and logical models)
o Lead and review the design of complex data models across domains (analytical, data vault, dimensional/star schemas, semantic models)
o Guarantee the semantic consistency, normalization where needed, and optimal denormalization for performance and usability
o Ensure data models are robust, evolutive, and designed for reusability across multiple use cases and data products
o Coach and challenge Data Architects and Data Engineers on modeling decisions to safeguard data quality, integrity, and long term maintainability

4. Data Product Strategy, Lifecycle & Certification

o Define the data product blueprint (contract, SLAs, quality criteria, ownership, classifica-ion, metadata, documentation)
o Design and continuously improve the delivery process for data products (methodology, templates, gates, design authority and governance)
o Lead and standardize the end to end data product lifecycle process: framing, design, build, test, certification, deployment, and evolution
o Work with business stakeholders and Analytics/AI teams to translate use case requirements into sustainable, reusable data products
o Ensure traceability and lineage from source systems to data products, enabling trust and explainability
o Implement a robust data product certification framework (quality checks, UAT, Run organization, deliverable sign offs, ...).

5. Cross Functional Leadership & Collaboration
o Act as the architectural lead and primary point of contact for data platform and data product architecture topics
o Collaborate closely with Business stakeholders, Enterprise & Solution Architects, Data En-gineers, Data Scientists, AI/ML engineers, and Data Governance & Data Management experts
o Influence and align technical and business stakeholders around a common data architecture vision and roadmap

6. Technology Watch & Continuous Improvement
o Evangelize modern data architecture, data product thinking, and platform capabilities across the organization
o Evaluate and recommend technologies, tools, and architectural approaches that accelerate data product delivery and improve reliability

WHO ARE WE LOOKING FOR?

- 12+ years of professional experience in data related roles, including significant experience as a Data Architect and several years in a lead/principal capacity
- Strong communication, influencing, and leadership skills, with the ability to align technical and business stakeholders around a common data vision
- Experience managing or coordinating external partners/consultants, ideally in a data or architec-ture context
- Excellent analytical and problem solving skills, with a strong delivery and outcome orientation
- Proven track record in data modeling excellence:
- Mastery of conceptual, logical modeling
- Strong experience in data warehousing and analytics modeling (e.g., dimensional/star schemas, 3NF).
- Solid experience with Data Vault 2.0 methodology
- Ability to challenge and optimize existing models for performance, scalability, and main-tainability
- Deep expertise in ETL/ELT processes and integration patterns
- Strong experience with cloud based data solutions (e.g., AWS, Google Cloud, Snowflake) and modern data platform components
- Solid understanding of Analytics and AI/ML concepts
- Experience with BI/Analytics & Exploration tools (e.g., Qlik, PowerBI, Sigma...)
- Understanding of data governance and data management practices, including knowledge of tools such as:
- Data catalog (e.g., Atlan)
- Data quality & observability (e.g., Sifflet)
- Master Data Management (e.g., Semarchy)
- Demonstrated ability to define and run data architectural standards, review boards, or design au-thorities.

Please ensure you are familiar with the CMA CGM Corporate Internal Mobility guidelines