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 needsDesign end-to-end solutions spanning data logic, technology, and ETL architectureContribute to High-Level Design (HLD) and Detailed Design Documents (DDD), ensuring consistency across design stagesApply architectural standards, patterns, and best practices to ensure solutions are scalable, secure, and reusableSupport Delivery and Implementation
Provide architectural guidance to project teams during implementationWork closely with engineering teams to ensure designs are delivered as intendedContribute across the lifecycle, from initial design through to production readinessDevelop Data Architecture
Contribute to data modeling, design, and implementation across metadata management,



operational data stores, and ETL environmentsDesign conceptual, logical, and physical data models with a focus on reusability and interoperabilityValidate physical data models and support quality assurance processes to ensure performance and efficiencyEnable Data Consumption & Integration
Design data consumption patterns that support business needs and enable data reuseCollaborate with security teams to align solutions with enterprise standardsSupport data integration across systems and business domainsCollaborate Across Teams
Work with business partners, system architects, data engineers, database administrators, and analytics teams to define requirements and solution approachesPartner with enterprise data architects to align with broader data strategyCollaborate with governance, data quality, and stewardship teams to support data availability and effective useAssess and Improve Solutions
Review existing data architectures to identify improvement opportunitiesContribute to strategies to enhance performance, scalability, and alignment with business needsPerform impact assessment through lineage, object dependencies and usageSupport communication of recommendations to stakeholdersExplore Emerging Technologies
Stay current on data technologies, modeling approaches, and platform capabilitiesContribute to evaluating and adopting new tools and patterns where appropriateWhat you bring




We recognize strong candidates come from different paths. You might be a outstanding fit if you have:University degree in computer science, information technology, data management or equivalentExperience designing and delivering data and analytics solutionsStrong understanding of data structures, data platforms, and database management systemsExperience with ETL technologies and data integration approachesProficiency working across traditional, big data, and cloud platformsHands-on experience with SQL, at least one programming language, and modern data platformsExperience working in cloud environments (e.
G., AWS, Azure
- including ADF, Databricks, Snowflake, Event Hubs, Storage, Key Vault, Fabric, or similar)Experience migrating data from on-premises to cloud environmentsA practical, hands-on mindset with the ability to contribute to both design and implementationNice to have:
Experience working with unstructured and semi-structured dataExperience with streaming platforms such as KafkaCloud architecture certifications (e.
G. AWS or Azure)Experience in the telecommunications industryStrong attention to detail balanced with a pragmatic approach to deliveryEffective communication and stakeholder engagement skillsExperience supporting or mentoring peers on technical design and implementationA problem-solving mindset grounded in real-world deliveryInterest and/or experience in AI/ML or AI-enabled data use casesExposure to broader solution architectureHow We Work
We design practical, production-ready data solutionsWe expect architects to stay close to the buildWe balance strong design with delivery realitiesWe collaborate across teams to move solutions forwardA Note on Applying
We know many people may

📌 Data Solutions Architect (Winnipeg)
🏢 Rogers
📍 Winnipeg