Data Architect

Sanofi • Morristown, NJ

11d

About The Position

Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. 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, Global Functions Architecture team, collaborating with stakeholders in the DDO (Digital Delivery and Operations) and BOT (Business Operations Transformation) Organizations and the Data AI & Governance teams to shape global data strategies and enable data-driven decision-making. As a Data Architect , you are a dynamic leader, looking to shape and drive data architecture on a global Enterprise level. 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?

Requirements

• 7+ years proven experience in enterprise data architecture and engineering.
• Experience with Snowflake required.
• Expertise in Data and AI, areas like; Data engineering, Data architecture, Master data management, Data lakes and warehouses, Data visualization, Artificial intelligence and Machine learning.
• Strong understanding of Data Mesh principles.
• Understanding of cloud platforms (AWS, Azure)
• Experience with integration tools (e.g., Informatica), API protocols (REST, GraphQL).
• Knowledge of governance platforms, metadata management, and data cataloging.
• Agile methodology experience (Jira, Confluence).
• Bachelors degree required.

Nice To Haves

• Masters preferred.

Responsibilities

• Evolve and promote our enterprise data model with unified standards, and integration protocols, ensuring scalability and interoperability across the organization
• Partner with Business Operations Transformation stakeholders to meet functional and analytical requirements.
• Communicate and socialize the Data Mesh principles, to both technical and business stakeholders, fostering organizational buy-in.
• undefined 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.
• Stay informed about advancements in data architecture and decentralized data management, identifying opportunities to enhance the organization’s data capabilities.
• Promote a culture of innovation and continuous improvement in data architecture.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees