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 chance:

Who we're looking for:

We’re looking for a hands-on Senior Solution Architect to lead the design and deliver scalable, secure, and reusable data and AI solutions.

What you'll do:

- Lead the assessment of complex business and technical requirements and translate them into end-to-end data and AI solutions.
- Own solution architecture across data processing, storage, integration, consumption, security and AI enabled capabilities.
- Build High-Level Designs (HLDs) and contribute to Detailed Design Documents (DDD), ensuring consistency across the solution lifecycle.
- Evaluate solution alternatives and make architectural recommendations based on business requirements, technical constraints, cost, scalability, performance, and operational considerations.
- Identify architectural risks, dependencies, assumptions, and design trade-offs early in the solution lifecycle.

Define Data and AI Architecture Patterns

- Design conceptual, logical, and physical data architectures and models that promote performance, interoperability, and reuse.
- Define patterns for structured, semi-structured, and unstructured data, including batch, streaming, API, and event-driven integration and consumption.




- Develop reusable architecture patterns for GenAI, RAG, enterprise and vector search, document processing, semantic models, and AI agents.
- Design secure integration patterns across enterprise data platforms, AI/ML platforms, LLMs, APIs, applications, and analytics solutions.
- Incorporate identity, RBAC, least-privilege access, data classification, privacy, and governance requirements into solution designs.

Provide Technical Leadership Through Delivery

- Provide architectural leadership to project teams throughout the delivery lifecycle, from initial discovery through implementation and production readiness.
- Work closely with engineering teams to ensure designs are delivered as designed
- Participate in design reviews and provide technical direction when implementation decisions require architectural guidance.
- Support the transition of AI solutions from proof of concept to governed production implementations.

Collaborate Across Teams

- Act as a senior technical partner to business stakeholders, architects, engineers, data science, analytics, security, governance, and platform teams.
- Align solution designs with enterprise data and AI strategies, security standards, data quality requirements, and stewardship practices.
- Communicate architectural decisions, risks, trade-offs,



and recommendations clearly to technical and business stakeholders.
- Partner with AI and Data Science teams to define data and architecture requirements for AI/ML and GenAI solutions.

Assess and Improve Solutions

- Assess existing data architectures to identify improvement opportunities for modernization, simplification, consolidation, and improvement.
- Perform impact assessments using data lineage, object dependencies, and usage information.
- Identify technical debt and recommend practical remediation or modernization strategies.
- Evaluate emerging data and AI technologies through technical assessments and proofs of concept.
- Identify architectural risks associated with AI solutions, including data exposure, inappropriate data access, model dependency, and solution reliability.
- Stay current with evolving data platforms, AI architecture patterns, model capabilities, and responsible AI practices.

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.
- Strong experience architecting solutions across multiple systems, platforms, or business domains.
- Strong understanding of data architecture, data structures, modern data platforms, database management systems and ETL.
- Hands-on experience with SQL, programming, and traditional and big data.
- Strong cloud experience with platforms and technologies such as Azure, AWS, Databricks, Snowflake, Microsoft Fabric, ADF, Event Hubs, Storage, and Key Vault.
- Experience migrating data f

📌 Sr. Solution Architect (Calgary)
🏢 Rogers Communications
📍 Calgary