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Sr. Technical Architect with Azure or GCP and capital markets experience to design and architec[...]

3 months ago


Old Toronto, Canada S I Systems Full time
Sr. Technical Architect with Azure or GCP and capital markets experience to design and architect robust solutions for a large banking client- 52256

Our banking client is looking for a Sr. Technical Architect with Azure or GCP and capital markets experience to design and architect robust solutions - 52256

Business Unit: Enterprise Architecture

Duration: 6 months, possibility of extension

Interview Process: 2 steps both in person ideally could accommodate Webex/Teams

Location: 66 Wellington Street West ( 2 days in office Thursday is mandatory - 2nd day is flex )

CANDIDATE PROFILE DETAILS:

Degree/Certifications Required: Azure or Google cloud

Years of experience: 10+

Reason for request/why opened: New project

% Interaction with Stakeholders: 30%

Project Scope: Google cloud migration + Platform support with modernization

Team Size: 10ppl

SUMMARY OF DAY TO DAY RESPONSIBILITIES:

• Design and architect robust solutions utilizing GCP (Google Cloud Platform)

• Collaborate with project managers and solution architects to accurately deliver cloud architecture projects on time and within budget.

• Assess and develop current architecture and readiness for cloud implementation, introducing new solutions and modernization strategies for the platforms.

• Develop detailed-level design requirements for architecture implementations, optimizing platform and integration strategies for cost-effective delivery of scalable and reliable distributed systems.

• Create delivery guides, assessments, and common architecture patterns for cloud architecture projects.

• Collaborate with cloud engineers and developers to deliver end-to-end solutions for clients.

• Implement best practices for backup and recovery techniques for applications in GCP, and Azure, focusing on continuous deployment, cloud security, governance, configuration management, and continuous integration.

• Design systems integrations, ingestion patterns, target and transition architectures, and roadmaps.

• Resolve Total Cost of Ownership (TCO) and Return on Investment (ROI) for the data platform and data products.

• Collaborate with cross-functional teams to implement scalable and efficient data engineering solutions.

• Drive the adoption of DevOps best practices to streamline data pipeline implementation and maintenance.

• Provide expertise in API integration and data governance for smooth data flows across systems.

• Stay up to date with emerging technologies and industry trends in engineering and analytics.

• Mentor and guide junior team members, fostering a culture of learning and growth.

MUST HAVE:

1.) Capital market / risk

3.) Google Cloud

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