Job Description

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. As a Data Architect at Sanofi, you’ll play a pivotal role in driving our Digital transformation through innovative and scalable data architecture solutions. You’ll join the Digital Architecture Center of Excellence team, collaborating with stakeholders across the organization to shape global data strategies and enable data-driven decision-making. This is your chance to harness cutting-edge tools and techniques to bring the miracles of science to life.

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

• Develop and evolve Sanofi’s enterprise data model, ensuring scalability, interoperability, and alignment with business needs.
• Partner with domain-specific teams to meet cross-functional and analytical requirements.
• Advocate for Data Mesh principles, fostering understanding and organizational buy-in across technical and business teams.
• Design and implement efficient data-sharing patterns to streamline data exchange with minimal dependencies.
• Establish and promote frameworks for data access, stewardship, and governance to enhance transparency and accountability.
• Stay ahead of advancements in data architecture, identifying opportunities to improve Sanofi’s data capabilities.
• Foster a culture of innovation and continuous improvement in data architecture practices.

About You

• Proven expertise in designing and managing scalable data architectures, especially in enterprise environments.
• Strong background in data modeling, taxonomy, and interoperability principles.
• Hands-on experience with Data and AI tools, including data engineering, master data management, data lakes, data warehouses, data visualization, and machine learning.

Technical Skills

• Proficiency in data modeling techniques and schema design.
• Familiarity with integration tools (e.g., Informatica), API management, and data exchange protocols (e.g., REST, GraphQL).
• Experience with cloud data platforms (e.g., AWS, Azure) and data warehouses (e.g., Snowflake).
• Knowledge of governance platforms, data quality, lineage tools, and stewardship frameworks.
• Solid understanding of Data Mesh principles and decentralized data architecture frameworks.
• Working knowledge of agile methodologies and tools such as Jira and Confluence.

Education

• Degree in Computer Science, Information Systems, Software Engineering, or a related field.

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.

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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