Data Solutions Architect

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: Who we're looking for: 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. What you’ll do: 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 Develop Data Architecture 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 Collaborate Across Teams 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,…