Data Platform Engineer Analyst

Reference no. R2860221

Position title:

Data Platform Engineer Analyst Department:
Platform Engineering (Mesh)

Location:

Toronto, ON

We are seeking an experienced data engineer to work with lead data engineers and global Sanofi data engineering teams to drive implementation of a data platform for Sanofi's advanced analytic, AI, and ML initiatives. In your role you will be reporting to the Senior Data Platform Manager and build a data platform that helps internal teams implement user cases. You will provide technical leadership and mentorship to the data engineering team.

The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work in Toronto, ON.

• Collaborate with data engineers and business teams to understand data requirements across bioinformatics, omics, clinical, and operational domains, translating them into scalable engineering solutions.
• Design and develop data pipelines, architectures, and datasets that support efficient ingestion, transformation, and delivery of data to downstream consumers.
• Build data transformation workflows using dbt for data modeling and Apache Airflow (MWAA) for pipeline orchestration, integrated with Snowflake as the core data warehouse.
• Write efficient Snowflake SQL queries, implement data warehouse best practices, and optimize performance.
• Use Python, Shell scripting, and Scala/Java for pipeline development and automation.
• Create and maintain Power BI dashboards and reports that provide accurate insights to business stakeholders, ensuring data quality and accessibility.
• Implement ETL/ELT pipelines using modern data integration patterns and tools, ensuring reliability and maintainability.
• Contribute to the design and implementation of AWS‑native data platform solutions that support production workloads.
• Monitor and troubleshoot deployed data assets in production, identifying and resolving issues under guidance from senior team members.
• Follow and apply global data engineering standards across architecture, data quality, governance, and platform consistency.
• Share knowledge and best practices with the data engineering team, contributing to continuous improvement of data solutions.

• Bachelor's or master’s degree in computer science, engineering, mathematics, or a related field with 1‑3 years of experience.
• Proven experience in data engineering or a related field.
• Hands‑on experience or strong familiarity with the modern data stack:
  Snowflake, dbt, Apache Airflow, and Power BI.
• A strong passion for data engineering and a desire to learn and grow in the field.
• Eagerness to work collaboratively in cross‑functional teams and learn from experienced data professionals.
• Basic understanding of data mesh concepts and an analytical mindset.
• Excellent problem‑solving skills and attention to detail.
• Strong communication skills and a willingness to convey technical concepts to diverse stakeholders.
• Interest in data integration technologies, cloud platforms, and modern data engineering tools including Snowflake, dbt, Airflow, and Power BI for end‑to‑end data solutions.

Salary range: $ – $ (Includes target bonus). Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors.

Sanofi is an equal opportunity employer committed to diversity and inclusion. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.