Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l’international, l'anglais étant la langue de travail.

This job offer is accessible to all, regardless of gender.

Job title: AcceleratorPrincipal Data Architect (Lyon)

• Location: Paris, Lyon

About the job

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.

Join our Digital Architecture Center of Excellence team and you can help make it happen. Your job?

As a Data Architect, you are a dynamic leader, looking to shape and drive data architecture on a global enterprise level in support of the Digital transformation. You ensure that vision meets execution, apply pragmatism to solutions and approaches, and mentor fellow architects.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main responsibilities:

• Evolve and promote our enterprise data model with unified standards, and integration protocols, ensuring scalability and interoperability across the organization

• Partner with domain-specific teams to ensure the data model supports cross-functional and analytical requirements

• Communicate and socialize the Data Mesh principles to both technical and business stakeholders, fostering organizational buy-in.

• Design data-sharing patterns to facilitate efficient, scalable, and flexible data exchange across systems, minimizing dependencies and enabling independent evolution of data-producing and data-consuming applications

• Collaborate on implementing data access and data stewardship frameworks that promote transparency, accountability, and adherence to governance policies

• Promote a culture of continuous improvement in data architecture.

• Stay informed about advancements in data architecture and decentralized data management, identifying opportunities to enhance the organization’s data capabilities

About you

• Experience: Proven track record of designing data architectures, leveraging a robust foundation in engineering and architecture; expertise in data modeling, taxonomy, and interoperability. Demonstrated technical and functional expertise in Data and AI, encompassing areas like data engineering, data architecture, master data management, data lakes and warehouses, data visualization, artificial intelligence, and machine learning

• Soft and technical skills: Strategic thinker experienced in working with cross-functional teams to align data architecture topics with business and analytical needs. Ability to explain complex concepts to diverse audiences, gaining organizational buy-in through clear communication. Proficiency in designing and maintaining scalable data architectures, ideally with experience in large enterprise environments. Expertise in data modeling techniques and experience with schema design and metadata management. Familiarity with integration tools (e.g., Informatica) and API management for seamless cross-domain data flow. Knowledge of data exchange protocols (e.g., REST, GraphQL) to facilitate reliable and standardized data sharing. Proficiency in governance platforms to manage data quality, lineage, and compliance. Familiarity with data cataloging tools and stewardship frameworks that promote accountability and transparency across data assets. Solid understanding of Data Mesh principles and hands-on experience with decentralized data architecture frameworks. Experience with cloud data platforms (e.g., AWS, Azure) and familiarity with data warehouses (e.g., Snowflake), and scalable storage. Experience in using agile methodologies and delivery tools such as Jira, Confluence, etc. preferred

• Education: A degree in Computer Science, Information Systems, Software Engineering, or a related field

• Languages: Fluency in English

Why choose us?

• Bring the miracles of science to life alongside a supportive, future-focused team

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave

• Make a significant impact on AI by shaping and driving data architecture at a global enterprise level, supporting our digital transformation initiatives

#LI-EU #Accelerator #Digital