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‑worl

📌 Data Solutions Architect (Brampton)
🏢 Rogers communications
📍 Brampton