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, 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 current tools and patterns where appropriate
What you bring 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 platforms
Experience 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 environments
A practical, hands-on mindset with the ability to contribute to both design and implementation
Nice to have: Experience working with unstructured and semi-structured data
Experience with streaming platforms such as Kafka
Cloud architecture certifications (e.g. AWS or Azure)
Experience in the telecommunications industry
Strong attention to detail balanced with a pragmatic approach to delivery
Effective communication and stakeholder engagement skills
Experience supporting or mentoring peers on technical design and implementation
A problem-solving mindset grounded in real-world delivery
Interest and/or experience in AI/ML or AI-enabled data use cases
Exposure to broader solution architecture
How We Work We design practical, production-ready data solutions
We expect architects to stay close to the build
We balance strong design w

📌 Data solutions architect (Calgary)
🏢 Rogers
📍 Calgary