Data Platform Engineer (HPC)

Eacademy Sanofi; Toronto; On-site; CAD 90,000 - 110,000; Full time

Job summary

A healthcare company in Toronto is looking for a Data Platform Engineer to support scientific research through AWS cloud solutions. The role involves deploying cloud applications, managing secure environments, and collaborating with R&D teams. Candidates should have a degree in Computer Science or Engineering and extensive experience with cloud services and containerization. The position offers a comprehensive rewards package and opportunities for career growth.

Benefits

Health and wellbeing benefits

Career growth opportunities

Thoughtful rewards package

Qualifications

• 5-7 years of proven experience in data engineering or working on Data Platforms.
• Strong hands-on experience with AWS cloud services.
• Excellent communication and interpersonal skills.

Responsibilities

• Collaborate with R&D teams to deploy and support cloud-based applications.
• Manage and secure AWS environments.
• Implement and troubleshoot hybrid infrastructure and network architectures.

Skills

AWS cloud services

Networking fundamentals

Infrastructure as Code

Containerization (Docker)

Communication skills

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Terraform

Kubernetes

Python

Bash

Job description

Overview

Reference No. R2821654

Position Title: Data Platform Engineer (HPC)

Department: R&D Data Products and Platforms

Location: Toronto, Canada

About the Job

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready?

We are seeking a highly skilled Data Platform Engineer with deep expertise in AWS cloud infrastructure, High performance computing (HPC) and network architecture to support our scientific research activities in the Toronto area. The ideal candidate will have strong proficiency in cloud-based system operations, including orchestration, automation, and network security, with a focus on supporting scientific computing workloads. This role involves collaborating with various R&D groups to design, implement, and maintain scalable, secure, and high-performance cloud environments. The candidate should be adept at managing both cloud-native and hybrid environments, troubleshooting complex networking issues, and optimizing cloud-based scientific workflows.

We are an innovative global healthcare company with one purpose : to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities

• Collaborate closely with scientists and R&D teams to deploy, scale, and support cloud-based applications for scientific computing.
• Act as a bridge between research and technology, translating scientific needs into infrastructure solutions and vice versa.
• Lead and participate in cross-functional meetings to capture requirements, align priorities, and share progress in a clear and structured manner.
• Manage and secure AWS environments, including networking, identity, and connectivity to Sanofi’s enterprise systems.
• Implement and troubleshoot hybrid infrastructure and network architectures, ensuring performance, availability, and compliance.
• Use Infrastructure as Code (IaC) tools (e.g., Terraform or AWS CloudFormation) to automate deployment and configuration of resources.
• Support containerized scientific workloads using Kubernetes and HPC schedulers like Slurm.
• Provide ongoing support and troubleshooting for computational workflows used by research teams, optimizing resource usage and performance.
• Maintain access control, monitor usage, and help control cost while supporting a secure and scalable cloud platform.

About You

Required Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5-7 years of proven experience in data engineering or 5+ years working engineering Data Platforms from start to finish
• Strong hands-on experience with AWS cloud services (e.g., EC2, VPC, FSx for Lustre, EKS, S3, IAM).
• Solid knowledge of networking fundamentals (subnetting, routing, DNS, VPNs, firewalls, Transit Gateway).
• Proficiency with Infrastructure as Code using Terraform or CloudFormation.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with HPC environments and workload managers (e.g., Slurm, PBS, or similar).
• Scripting and automation skills in Python or Bash.
• Familiarity with scientific workflows (e.g., Cellranger, RStudio, Nextflow) and scientific applications (Schrödinger, Moe, Amber, Gromacs, Cryosparc, Relion…)
• Excellent communication and interpersonal skills – you can engage with researchers, simplify technical topics, and lead discussions confidently.

Preferred (Not Required)

• AWS certification (e.g., Solutions Architect or DevOps Engineer).
• Experience with cloud-native security practices or policy-as-code tools.

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs.

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.

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in company employee benefit programs, and additional benefits information can be found here.