Data Platform Engineer Specialist
Reference No. R2715512
Position Title: Data Platform Engineer Specialist
Department: Global Data Platform
Location: Toronto, Ontario
At Sanofi, we chase the miracles of science to improve people’s lives. We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people.
As one of Canada’s leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs. Our life-changing and lifesaving products are grounded in science that Canadians can trust. They empower self-care, prevent and treat diseases, and help people live better.
Our vision for digital, data analytics and AI
Sanofi has 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 perform 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.
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.
Who You Are:
You are an experienced data engineer who actively engages in designing and developing comprehensive solutions to support and enhance business operations. You have a strong understanding of back-end and front-end technologies and have experience implementing highly functional solutions that can scale. You have a passion for good user experience and know how to ensure user needs are met through agile development and stakeholder engagement. You are an excellent communicator who enjoys collaborating with cross functional teams, works with subject matter experts, mentor and support teams and manages to deliver professional grade solutions.
We are seeking an highly skilled Data Engineer with at least 4-6 years of diverse data engineering experience who will play vital role in 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 with experienced data engineers, data scientists, and other stakeholders to understand intricate data requirements, especially in areas like bioinformatics, omics, clinical data, and more.
Design, implement, and maintain data infrastructure on AWS Cloud to support our data mesh architecture.
Develop, automate, optimize, and fine-tune data platform provisioning, scaling, and maintenance tasks to improve operational efficiency, performance, scalability, and cost-effectiveness.
Lead data pipeline design, development, and optimization, drawing on your expertise in data integration, ETL/ELT, modern tools, and AWS Cloud, to ensure efficient data processing and cutting-edge solutions.
Implement data monitoring and alerting solutions while collaborating with DevOps teams to proactively identify and address data issues.
Ensure data security, compliance, and governance standards are met throughout the data platform, adhering to global data engineering standards and principles.
Establish and enforce global data engineering standards, ensuring strict adherence to data architecture, platform, quality, and governance principles.
Demonstrate your expertise in implementing data warehouse/lake solutions, data mesh architectures, and distributed processing technologies (e.g., Spark, Hadoop, Kafka) for production environments.
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.
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.
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.
Document data infrastructure design, configuration, and processes for reference and training purposes.
Bachelor's/Master's degree in Computer Science, Engineering, Mathematics, or a related field. 4-6 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.
Expertise in managing cloud-native systems following IaC and DataOps principles (terraform, CI/CD, Orchestration, Actions)
Extensive experience with agile development processes and concepts.
Exceptional problem-solving skills and attention to detail.
Excellent communication, presentation, and interpersonal skills.
Ability to lead teams effectively and collaborate with stakeholders at all levels.
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.
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.
Thank you in advance for your interest.
Only those candidates selected for interviews will be contacted.
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.