Data Architect - Life Sciences

Reference no. R2848116

Position title: Data Architect

Department: Strategic Architecture

Location: Toronto, ON

About the Job

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.

Are you ready to push the boundaries of what’s possible? At Sanofi, we are committed to providing next-generation healthcare solutions that patients and customers need. By harnessing data insights and leveraging AI responsibly, we aim to search deeper and solve sooner than ever before. Join our Digital Architecture Center of Excellence organization and play a key role in shaping and driving data architecture on a global enterprise level to support Sanofi’s Digital transformation. As a Data Architect, you will ensure that vision meets execution, foster organizational buy-in, and mentor fellow architects while promoting scalability, interoperability, and innovation across the organization. Ready to get started?

About Sanofi 

We’re an R&D-driven, AI-powered biopharma company committed to improving people’s lives and delivering compelling growth. Our deep understanding of the immune system – and innovative pipeline – enables us to invent medicines and vaccines that treat and protect millions of people around the world. Together, we chase the miracles of science to improve people’s lives. 

**Hybrid - 3 days a week onsite is required. **

Main responsibilities:

• Lead data architecture for major business capabilities and cross-domain initiatives, ensuring alignment with digital strategy and business objectives

• Define and evolve the data architecture vision, standards, and roadmaps, including transitional and target architectures across domains

• Design and oversee complex data solutions that ensure scalability, interoperability, performance, and compliance across platforms and systems

• Develop and promote reusable architecture frameworks, reference architectures, and data patterns that drive consistency, simplification, and delivery acceleration

• Lead technical due diligence and architecture evaluation for major data platform investments and technology selections

• Champion modern data architecture practices and accelerate adoption of emerging data technologies and methodologies across teams

• Communicate and socialize Data Mesh principles with technical and business stakeholders to support decentralized data ownership and cross-domain collaboration

• Act as a trusted advisor and mentor within the architecture community, partnering with senior stakeholders to influence strategic direction and drive measurable outcomes such as improved performance, reduced technical debt, and cost efficiency

About you

Experience:

• Experience leading the design and delivery of modern enterprise data architectures, translating business and technical requirements into scalable, end-to-end solutions

• Extensive experience across the data ecosystem including data engineering, data architecture, master and reference data management, data lakes and warehouses, analytics, and AI/ML platforms

• Experience delivering architecture blueprints, models, and documentation that provide clear traceability from requirements through implementation

• Experience applying modern data architecture practices in complex or regulated environments such as healthcare or life sciences.

Soft skills :

• Strategic thinker able to navigate complex and ambiguous challenges and translate them into clear architectural direction aligned with business goals

• Strong communicator who can explain complex architectural concepts to technical and business stakeholders and build organizational alignment

• Proven ability to influence cross-functional teams and engineering organizations without direct authority to translate architectural vision into practical implementations

• Demonstrated ability to mentor architects and engineers and contribute to a strong architecture community of practice

Technical skills:

• Experience designing scalable cloud-based data architectures in enterprise environments, ideally using AWS

• Hands-on experience with modern cloud data platforms such as Snowflake and transformation frameworks such as dbt

• Experience with enterprise data integration platforms such as Informatica Cloud, including large-scale data integration and orchestration patterns

• Strong expertise in data modeling, schema design, taxonomy, interoperability, and metadata management

• Knowledge of modern data governance capabilities including data quality, lineage, cataloging, observability, security, and access management

• Experience implementing domain-oriented data architecture practices such as Data Mesh and decentralized data ownership models

• Familiarity with modern integration and data exchange patterns including APIs and protocols such as REST and GraphQL to enable reliable cross-domain data sharing

Education:

• Bachelor's Degree plus 10 years of applicable experience - required. Master's plus 3 years of applicable experience - preferred.

• Professional certifications in relevant technologies, cloud data platforms, or architecture frameworks preferred

Languages:

• Fluency in English, with excellent written and verbal communication skills.

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. 

AI Usage

"Artificial Intelligence” refers to any systems that use automated processes, including algorithms and machine learning, to analyze data and make predictions, inferences, decisions, or recommendations without direct human involvement. These systems may process personal information to identify patterns, improve services, or support decision-making. The Company may use Artificial Intelligence for purposes including, but not limited to, resume screening and hiring, scheduling interviews or meetings, conducting surveys, matching skills with potential job openings, interview scoring, ensuring compliance with regulations applicable to our industry, and activities related to performance evaluation. Information collected and processed by the Company’s Artificial Intelligence systems may include the personal information detailed above and calendar availability. It excludes the information collected and processed for monitoring purposes. You should contact Human Resources if you have a question or concern regarding your personal information. You can also contact Canada’s Privacy Officer via Sanofi’s data subject request portal,   Data Subject Rights Webform . The Data Subject Rights Webform can also be used to request access or correction of your personal information and file a complaint.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants.  Accommodations for persons with disabilities required during the recruitment process are available upon request. 

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All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Toute compensation sera déterminée en fonction de l'expérience démontrée. Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.