About the Digital Data team  

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.   

Sanofi’s Digital Data organization’s mission is to transform Sanofi into a data-first and AI-first organization by empowering everyone with good data. Through custom-developed products built on world-class data foundations and platforms, the team builds value and unique competitive advantage that scales across our markets, R&D, and manufacturing sites. Join a dynamic, fast-paced, and talented team, with world-class mentorship, using AI and ML to chase the miracle of science. It is a unique opportunity to create a new team within an established organization. 

Role Purpose

In this role, you will lead Data Engineering technical development to develop best-in-class cloud-first solutions to support our data and AI teams.

Roles & Responsibilities

• Establish technical designs to meet business and technical requirements as a prime data engineering lead 
• Develop and maintain all components of data engineering solutions and pipelines based on requirements and design specifications using appropriate tools and technologies 
• Optimize solutions (ETL / data pipelines) to balance performance, functionality, cost, and other operational requirements 
• Conduct peer reviews for quality, consistency, and rigor for production-level solution
• Create design and development documentation based on standards for knowledge transfer, training, and maintenance
• Define and promote best practices and standards for code management, automated testing, and deployments
• Work with business and products teams to understand and decompose high-level business requirements, and translate them into technical needs
• Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases
• Develop automated tests for CI/CD pipelines
• Test and validate the developed solution to ensure it meets requirements and design specifications
• Mentor and train junior team members
• Assess and fix data pipeline issues to ensure performance and timeliness of execution
• Lead data engineering efforts to modernize and replace legacy solutions and platforms
• Partner with the Data Engineering Manager, Product Owner, and Data Analysts to create an implementation plan, including assessments of timelines and complexity
• Gather/organize large & complex data assets, and perform relevant analysis
• Actively contribute to the Data Engineering community and define leading practices and frameworks
• Communicate results and findings in a clear, structured manner to stakeholders at various levels
• Remain up to date on the company’s standards, industry practices, and emerging technologies  

About you  

Key Functional Requirements & Qualifications: 

• Experience working with cross-functional teams to solve complex data architecture and engineering problems   
• Demonstrated ability to learn new data and software engineering technologies in a short amount of time
• Experience with agile/scrum development processes and concepts
• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities 
• Demonstrated technical analysis and problem-solving skills related to data and technology solutions
• Excellent written, verbal, and interpersonal skills with the ability to communicate ideas, concepts, and solutions to stakeholders at all levels
• Pragmatic and capable of solving complex issues, with technical intuition and attention to detail
• Service-oriented, flexible, and approachable team player

Key Technical Requirements & Qualifications: 

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field  
• 9+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (Spark, Informatica/IICS or equivalent) 
• Experience in Big Data integration, including cloud-based platforms such as AWS, and Snowflake  
• Proficiency in data structures and algorithms 
• Demonstrated experience in scripting languages (Python, SQL, Shell scripting)
• Experience with job scheduling and orchestration (Control-M and Airflow is a plus)
• Strong proficiency in relevant technologies such as databases (relational and NoSQL), distributed systems, and microservices
• Experience working with large data sets, and performance and query optimization 

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

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.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!