AWS Cloud Data Architect

1 week ago

Toronto, Canada Iris Software Inc. Full time

Iris's client, one of the world's largest multinational Investment banking and financial services corporations, is looking to hire an AWS Cloud Data Architect for a Long-Term opportunity.

Work location: Toronto, ON (Hybrid Onsite – 3 days a week)

Job description:

Design, provision, and implement end-to-end data solutions leveraging AWS cloud services. Lead infrastructure architecture, collaborate with cloud engineering teams, and drive deployment in modern containerized environments (EKS/ECS).

Responsibilities:

Solution Design & Infrastructure Provisioning

- Collaborate with cloud engineering and architecture teams to define and design scalable data infrastructure solutions on AWS
- Architect, provision, and optimize cloud resources for high-performance ETL/data workflows

AWS Cloud Services Implementation

- Build and automate data pipelines using AWS S3, Glue, and Redshift services
- Integrate AWS security, access management, and monitoring best practices into ETL workflows

Python Development

- Develop, test, and optimize ETL/code solutions in Python for cloud-based data processing
- Apply software engineering practices for robust, maintainable, and reusable cloud codebases

Containerized Deployment

- Architect and deploy solutions in Kubernetes (EKS) or ECS, focusing on container orchestration, scaling, and resilience
- Set up CI/CD pipelines for container image management and automated deployment

Collaboration & Stakeholder Management

- Work closely with cloud infrastructure teams, architects, and business stakeholders for requirement gathering and solution presentation
- Document architectural decisions, review designs, and ensure alignment with enterprise standards

Required Skills & Experience:

- Advanced hands-on experience with AWS services: S3, Glue, Redshift
- Proficiency in Python for data engineering, automation, and scripting
- Strong understanding of cloud infrastructure provisioning (Terraform, CloudFormation preferred)
- Expertise in container platforms: Kubernetes (EKS), ECS; architectural exposure preferred
- Experience designing scalable, secure, and cost-efficient cloud solutions
- Good communication skills for working with cross-functional stakeholders

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