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 new tools and patterns where appropriate What 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 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 with delivery realities W

📌 Data Solutions Architect (Calgary)
🏢 Rogers
📍 Calgary