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AWS Solution Architect

Insight Global - 17 Jobs
Toronto, ON
Posted yesterday
Job Details:
Full-time
Experienced

Required Skills & Experience

- 8-10+ years of experience as a data solutions architect in large enterprise banking environments, driving large AWS initiatives that are cost-effective and scalable.

- 8+ years of experience with AWS services and architecture and a proven track record of driving scalable and cost-efficient data solutions.

- Hands-on experience creating proof of concepts and pilot testing.

- Ability to articulate complex solutions and scalability and present findings to stakeholders.

- Excellent knowledge of security and IAM protocols specifically with IAM Roles & Policies, Amazon Virtual Private Cloud (VPS), and AWS Key Management Service (KMS)

- Excellent collaboration and communication skills and able to thrive in an agile environment (Scrum, Kanban).

Job Description

Insight Global is looking for an experienced AWS Data Solutions Architect to join our banking clients team leading lead the provisioning and optimization of AWS services for a large SaaS to AWS transformation project. The ideal candidate will have hands-on experience with AWS architecture, cost management, and creating POCs. It will be important for this individual to be hands-on and collaborating with team to be involved in pilot testing, analysis, solution fit, actual implementation, and communicating the complexity and scalability. This role will hybrid in Toronto, ON on a 6 month contract with potential for extensions and conversion to full time.

Responsibilities:

- Provision AWS services and determine the best scalable and cost effective storage options.

- Optimize storage access and cost impact on AWS web services.

- Conduct POCs and pilot ideas to validate and test concepts at large scale.

- Collaborate with various stakeholders to ensure solution fit and scalability.

- Implement security and IAM protocols across the architecture that will be important for security, defining personas, and access to environment.

- Support the deployment of ML models and data solutions.

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