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 current 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 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

📌 Data Solutions Architect (Canada)
🏢 Rogers
📍 Canada