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About the Role
Sanofi is seeking a hands-on data and AI engineering leader with a strong background in building and operating data pipelines and platforms. This role provides architectural leadership and technical know-how across data pipeline construction, execution, and operations, with direct people management responsibilities. The position is part of Sanofi's digital transformation program focused on accelerating data transformation and the adoption of AI/ML solutions.
Responsibilities
- Lead, mentor, and develop a team of data engineers while fostering strong engineering practices, accountability, collaboration, and continuous improvement
- Design, build, deploy, and support scalable data pipelines and data products that enable analytics, AI/ML, and commercial business use cases
- Lead discovery, solution design, and technical planning discussions with business, analytics, AI, and technology teams
- Manage team delivery, priorities, capacity planning, and execution across multiple concurrent data engineering initiatives
- Design, develop, test, and optimize scalable data engineering solutions and reusable data assets that support analytics, AI/ML, and business-critical workflows across global platforms
- Partner with technical and non-technical stakeholders to clarify ambiguous business needs, shape solution approaches, and translate requirements into scalable data engineering solutions
- Provide architectural and technical leadership across data pipeline orchestration, distributed processing, cloud-native platforms, and data integration patterns
- Drive operational excellence across production data assets, including monitoring, troubleshooting, incident response, release management, and continuous improvement
- Identify opportunities to automate, simplify, standardize, and optimize data engineering processes, reusable assets, and platform capabilities
- Collaborate within cross-functional agile teams and partner with internal and external stakeholders to deliver high-quality data engineering solutions
- Contribute to and evolve data engineering standards, best practices, and community knowledge sharing across the organization
- Stay current with emerging technologies, industry trends, and modern data engineering practices to continuously improve platform capabilities and engineering effectiveness
Requirements
- Minimum 8 years of experience in data engineering, analytics/AI engineering, or data platform development
- Minimum 2 years leading or managing engineering teams/projects
- Demonstrated experience designing, building, and operating scalable data pipelines, data platforms, and distributed processing solutions using technologies such as Spark, Kafka, Snowflake, Hadoop, or similar
- Strong experience with cloud-native data engineering and modern ETL/ELT solutions, preferably within Snowflake / AWS-based environments; Informatica/IICS experience preferred
- Advanced SQL and data modeling skills, with working knowledge of Python and scripting languages; Scala or Java is a plus
- Experience with batch, near real-time, and streaming data architectures, as well as modern data warehouse, lake, and lakehouse concepts including data mesh principles
- Strong understanding of data architecture, scalability, reliability, performance optimization, and operational support for enterprise-grade data platforms
- Demonstrated ability to work with technical and non-technical stakeholders to navigate ambiguity, identify underlying business needs, and translate them into scalable technical solutions and execution plans
- Strong communication, facilitation, and stakeholder management skills, with the ability to influence decisions and communicate complex technical concepts to diverse audiences
- Experience partnering with cross-functional teams including analytics, AI/ML, product, infrastructure, security, governance, and business stakeholders
- Experience operating in agile delivery environments with strong understanding of software engineering practices, CI/CD, release management, testing, and operational support
- Experience leading engineering teams through delivery execution, prioritization, mentoring, performance management, and continuous improvement initiatives
- Bachelor’s or Master’s degree in Computer Science, Engineering, STEM, Business, or a related field, or equivalent practical experience
- Experience in life sciences, healthcare, or pharmaceutical industries (Nice to have)
- Experience with Airflow, dbt or similar orchestration and transformation tooling (Nice to have)
- Familiarity with data governance, data quality, and commercial data domains such as omni-channel, pricing, customer engagement, or sales analytics (Nice to have)
- Experience working with external vendors and offshore/onshore delivery models (Nice to have)
Skills
- Data Engineering
- AI Engineering
- Data Platform Development
- Spark
- Kafka
- Snowflake
- Hadoop
- Cloud-native data engineering
- ETL/ELT
- Informatica/IICS
- SQL
- Data Modeling
- Python
- Scripting languages
- Scala
- Java
- Batch data architectures
- Near real-time data architectures
- Streaming data architectures
- Data warehouse concepts
- Data lake concepts
- Data lakehouse concepts
- Data mesh principles
- Data architecture
- Scalability
- Reliability
- Performance optimization
- Operational support
- Agile delivery
- Software engineering practices
- CI/CD
- Release management
- Testing
- Operational support
- Airflow
- dbt
- Data governance
- Data quality
- Omni-channel analytics
- Pricing analytics
- Customer engagement analytics
- Sales analytics
Location
- Toronto, ON
Work Type
- Onsite
Experience Level
- Minimum 8 years of experience in data engineering, analytics/AI engineering, or data platform development
- Minimum 2 years leading or managing engineering teams/projects
Education Level
- Bachelor’s or Master’s degree in Computer Science, Engineering, STEM, Business, or a related field, or equivalent practical experience
Salary/Compensations
- 158,200.00 - 208,200.00 (Includes target bonus)
Benefits
- High-quality healthcare
- Prevention and wellness programs
- Company employee benefits programs
About the Company
- Sanofi is 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.
Equal Opportunity
- 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.
- At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.