About the role

Technology Designer at iA Financial Group, designing and evolving robust data platforms and DataOps practices. Collaborating with teams to implement cloud infrastructures and CI/CD pipelines.

Responsibilities

Design, implement, and maintain robust CI/CD pipelines for data platforms and cloud resources
Industrialize DataOps practices and standardize deployment models for data platforms
Design and deploy data and cloud infrastructures using the Infrastructure as Code (Terraform) approach
Define and implement high availability, resilience, and disaster recovery strategies
Design and operate containerization and orchestration solutions based on Docker and Kubernetes
Integrate containerized environments into CI/CD pipelines and DataOps practices
Automate data and cloud operations to reduce manual interventions and operational risks
Implement monitoring, remediation, and automated troubleshooting mechanisms to improve reliability and reduce MTTR
Design and maintain ETL/ELT pipelines for large-scale data ingestion, transformation, and enrichment
Integrate analytical components and, when required, machine learning-type processing
Feed Business Intelligence tools and perform ad hoc analyses for troubleshooting and performance optimization
Collaborate closely with business and IT teams to understand needs, define data and cloud strategies, and recommend appropriate architectures
Act as a technical reference and advisor on best practices related to data platforms, DataOps, and cloud.

Holds a degree in computer science, engineering, information systems, or any other relevant field
Has 10 years of experience in development or design of data platforms, DataOps, or cloud
Is recognized for their expertise in CI/CD, DataOps, and data platform automation
Stands out for their mastery of cloud environments, particularly Google Cloud Platform (GCP)
Is recognized for their rigor, autonomy, and ability to solve complex problems
Demonstrates a strong ability to collaborate with multidisciplinary business and IT teams
Has significant experience with Terraform, Docker, and Kubernetes
Has a good knowledge of ETL/ELT pipelines, analytics, and Big Data environments
Has excellent command of the French language, both spoken and written
Has an advanced level of English proficiency, as the person will be required to lead presentations, meetings, and produce documentation, as well as emails with internal and external partners on a weekly basis.