Data Solutions Architect

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Our Technology team wakes up every day with one goal in mind - connecting Canadians to the people and things that matter most. Together, we are proud to support 30 million Canadians each month through managing a robust portfolio that champions leading-edge technology. We drive large-scale, complex, and high-visibility technology projects and programs that shape the future of technology in Canada and expand connectivity from coast to coast.

If you are interested in being a part of this, consider applying for the following opportunity:

We’re looking for a hands-on Data Solution Architect to design and deliver scalable, secure, and reusable data solutions.

This role sits within the Data & AI team and is focused on end-to-end data architecture — from requirements and design through to implementation. You’ll work closely with business partners, engineers, and platform teams to shape practical, production-ready solutions across data, integration, and analytics environments.

Design Data Solutions

• Analyze requirements and assess new data solution needs
• Design end-to-end solutions spanning data logic, technology, and ETL architecture
• Contribute to High‑Level Design (HLD) and Detailed Design Documents (DDD), ensuring consistency across design stages
• Apply architectural standards, patterns, and best practices to ensure solutions are scalable, secure, and reusable

Support Delivery and Implementation

• Provide architectural guidance to project teams during implementation
• Work closely with engineering teams to ensure designs are delivered as intended
• Contribute across the lifecycle, from initial design through to production readiness
• Contribute to data modeling, design, and implementation across metadata management, operational data stores, and ETL environments
• Design conceptual, logical, and physical data models with a focus on reusability and interoperability
• Validate physical data models and support quality assurance processes to ensure performance and efficiency

Enable Data Consumption & Integration

• Design data consumption patterns that support business needs and enable data reuse
• Collaborate with security teams to align solutions with enterprise standards
• Support data integration across systems and business domains
• Work with business partners, system architects, data engineers, database administrators, and analytics teams to define requirements and solution approaches
• Partner with enterprise data architects to align with broader data strategy
• Collaborate with governance, data quality, and stewardship teams to support data availability and effective use

Assess and Improve Solutions

• Review existing data architectures to identify improvement opportunities
• Contribute to strategies to enhance performance, scalability, and alignment with business needs
• Perform impact assessment through lineage, object dependencies and usage
• Support communication of recommendations to stakeholders

Explore Emerging Technologies

• Stay current on data technologies, modeling approaches, and platform capabilities
• Contribute to evaluating and adopting new tools and patterns where appropriate

• We recognize strong candidates come from different paths. You might be a great fit if you have:
• University degree in computer science, information technology, data management or equivalent
• Experience designing and delivering data and analytics solutions
• Strong understanding of data structures, data platforms, and database management systems
• Experience with ETL technologies and data integration approaches
• Proficiency working across traditional, big data, and cloud platforms
• Hands‑on experience with SQL, at least one programming language, and modern data…