Job Description

Reference No. R2681358

Position Title: Data Architect (Digital Data, Large Molecule Research)

Department: Data Strategy Program Management

At Sanofi, we chase the miracles of science to improve people\xe2\x80\x99s 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\xe2\x80\x99s 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.

Location: Located in the downtown area of Toronto, Ontario Canada, our team uses a hybrid working model combining remote and office-based work.

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\xe2\x80\x99s 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, leaders and academics in machine learning to further develop your skillsets.

Who You Are:

Reporting to the Head of Data Foundations, you design data architectures and create the technical backbone for all digital and ML products that will be part of our Large Molecule Research digital solution. To successfully accomplish this task, you work in close collaboration with the product line leaders, program managers, engineers, experimental scientists and external partners. You are a valued influencer and hands-on leader who has delivered practical and scalable architecture. You have a keen eye for improvement opportunities and the demonstrated ability to deliver against these opportunities using your broad technology skillset.

Key Responsibilities:

Play a leading role in the design and implementation of a new, state of the art, machine learning solution for the screening, design and optimization of drugs based on large molecules.

Work in close collaboration with Business, several of the platforms and companies we have purchased, Technology and Product stakeholders to contextualize the architecture design

Verifies the consideration of non-functional requirements as part of the solution architecture.

Designs and produces design documents and solution roadmaps showing the states of transition for the Architecture.

Leverages the existing Portfolio of digital products, catalog of services and promotes the usage of existing building blocks.

Defines and manages standards, guidelines and processes for analytics solutions and architecture, aligning with the broader architecture council.

Remains up to date on data & AI industry practices and emerging standards.

Recommend emerging technologies for Data Analytics tech stack; optimize existing stack.

Contributes to the prioritization of technology enablers in solution roadmaps.

Be a champion for high standards to ensure Digital Data Standards for Processes and Technologies are shared and used.

Key Requirements:

Experience with Agile methodologies, supporting and working with cross-functional teams.

Experience in all phases of a Data lifecycle: concept & design, development, implementation, change and operation.

Demonstrate excellent skills of translating requirements into workable, fit for purpose, technical designs and solutions.

Advantage for those with knowledge about biological and structure data.

Have extensive experience in technical solution identification and rationalization.

Facilitates design and review sessions to define broad solutions with the big picture in mind.

Ability to understand architectural dependencies of technologies in a vast and complex environment.

Explore how new technologies can be applied to solve challenging business problems and compile architecture decision records (ADRs).

Desires to work in a fast-paced, constantly evolving environment; ability to manage multiple priorities.

Ability to work independently as well as in a team with a proven ability to influence.

Structured, planned and traceable approach.

Integrity and trust -- unwavering commitment to "doing the right thing".

Good communication and facilitation skills.

Good written and verbal skills in English.

Pharmaceutical and life science experience is a plus.

Bachelor\xe2\x80\x99s degree in Computer Science, Information Systems, Software Engineering or similar field.

Strong Experience designing and implementing Enterprise Data & Analytics Architectures.

Strong background in the areas of Data: Integration Services: Informatica Cloud, Airflow.

Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL.

Data modeling: SQLDBM.

BIG Data: Experience with distributed systems (Spark, Hadoop).

Data Quality: Informatica CDQ.

Master Data Management: Informatica MDM.

Meta data management/Data Catalog: Informatica EDC and Axon Data Governance.

Data Security: Experience in working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus.

Experience in Agile development processes and DevOps methodology / principals: Cloud-based services (AWS, Azure), Infrastructure as a code (Terraform), GIT-based source code management (GitHub) and Continuous Integration and Continuous Delivery (CI/CD) practices (GitHub Actions), Python, Shell scripting.

Data storage technologies (Object, structured, and unstructured).

Automating deployment, scaling, and management of containerized applications.

Experience in Data Science/cloud-based machine learning platforms (Databricks, AWS Sagemaker) is a plus.

Advantage for those with experience in the pharmaceutical or biotechnology industries.

For more senior roles, mentoring and/or technology evangelism/advocacy experience is a plus.

Pursue Progress.

Discover Extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn\xe2\x80\x99t happen without people \xe2\x80\x93 people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let\xe2\x80\x99s be those people.

Watch our and check out our Diversity, Equity and Inclusion actions at !

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.

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#DBBCA #DDB

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.

Sanofi