Data Solutions Architect

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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

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

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…