About the opportunity

About Sanofi:

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.

Our vision for digital, data analytics and AI

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.

The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions. We measure our insights and products based on how they preform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.

If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi. Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:

• AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
• Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.
• World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

About Growing with us

We are seeking an accomplished and highly skilled Data Engineer to lead and drive implementation of Data platform for Sanofi's advanced analytic, AI, and ML initiatives. As a seasoned Data Engineer, you will play a critical role in designing and implementing globally scalable data engineering platform to make it easier for internal teams to start implementation of their user case and to enhance the lives of our global patients and customers. Your expertise will be instrumental in shaping the future of data-driven healthcare while providing technical leadership and mentorship to the data engineering team.

In your role, you will be reporting to Senior Data Platform Manager, working closely with leadership to build data platform with inputs and feedback received from various teams across data foundations and business to address their immediate and long term needs. You will be responsible for mentoring data platform engineers and have opportunity to learn from technical teams, SME's and business leaders about available platforms, tools and business processes.

• Collaborate closely with the business teams to understand intricate data requirements in but not limited to bioinformatics, omics, clinical data, and other relevant domains. Translate these requirements into robust and scalable data engineering solutions.
• Lead and guide the design, development, and optimization of data pipelines, architectures, and data sets, ensuring efficient data ingestion, transformation, and reliable delivery.
• Leverage your extensive experience in data integration technologies, ETL / ELT, and modern data engineering tools, with a strong focus on Informatica/IICS, to create cutting-edge data solutions.
• Work hand-in-hand with cross-functional agile teams to architect and implement hybrid-cloud solutions with automated pipelines, ensuring seamless and high-performance data processing.
• Drive and oversee the life cycle management of deployed data assets and products, taking charge of new releases, change management, monitoring, and troubleshooting.
• Establish and enforce global data engineering standards, ensuring strict adherence to data architecture, platform, quality, and governance principles.
• Collaborate closely with Data, Digital, and key business stakeholders to align data engineering solutions with organizational platforms and architecture standards.
• Demonstrate your expertise in implementing data warehouse/lake solutions, data mesh architectures, and distributed processing technologies (e.g., Spark, Hadoop, Kafka) for production environments.
• Utilize your extensive knowledge of cloud technologies, preferably AWS, to develop and maintain modern cloud-native data platforms with a focus on performance and scalability.
• Showcase your advanced proficiency in SQL (preferably in Snowflake) and relational/non-relational databases to optimize complex data queries and manipulations.
• Exhibit mastery in programming languages such as Python, Shell scripting, and Scala/Java, leveraging them to develop sophisticated data engineering solutions.
• Act as a mentor and leader, providing guidance and mentorship to junior data engineers, fostering a collaborative and growth-oriented team culture.
• Engage actively with the data engineering community, sharing insights, best practices, and innovative ideas to contribute to the growth of the industry.

About you

Key Requirements:

• Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, or a related field. 5-7 years of proven and progressive experience in data engineering, with a strong preference for experience in the life sciences/pharmaceutical industry.
• Extensive background in designing, developing, and optimizing data solutions, including data pipelines, architectures, and data sets.
• Proven expertise in data integration technologies, ETL / ELT processes, and modern data engineering tools, with an emphasis on Informatica/IICS.
• Experience with multimodal data systems and architectures, including batch, near real-time, and streaming data.
• Demonstrated success in developing distributed architectures and processing technologies (e.g., Spark, Hadoop, Kafka) for large-scale data processing.
• Expertise in developing cloud-native data platforms on AWS, ensuring high performance, scalability, and fault tolerance.
• Advanced knowledge of SQL, relational/non-relational databases, and data query optimization.
• Proficiency in programming languages such as Python, Shell scripting, and Scala/Java.
• Familiarity with agile development processes and concepts.
• Exceptional problem-solving skills and attention to detail.
• Excellent communication, presentation, and interpersonal skills.
• Ability to lead cross-functional teams effectively and collaborate with stakeholders at all levels.

If you are an experienced and accomplished Data Engineer looking for an exciting opportunity to shape the future of healthcare through data-driven insights and transformative solutions, we encourage you to apply for this key position. Join us in making a significant impact on the lives of global patients and customers through innovative data engineering solutions.

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.