Solution 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.

We’re looking for a hands‑on Senior Solution Architect to lead the design and deliver scalable, secure, and reusable data and AI solutions. This role sits within the Data & AI team and provides technical leadership across end-to-end data and AI architecture, from requirements and design through to implementation. You’ll work closely with business partners, architects, engineers, security, governance and platform teams to translate complex business needs into practical, production‑ready solutions across data, integration, and analytics environments.

Lead Data Solution Design

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. 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. 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.

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 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. University degree in computer science, information technology, data management or equivalent. 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 from on premises to cloud environments. Strong understanding of security, privacy, data governance, access control, and data protection principles. A practical, hands‑on mindset with the ability to contribute to both design and implementation.

Experience designing AI/ML or GenAI-enabled enterprise solutions and integrating them with modern data platforms.

Experience LLMs, RAG, embeddings, vector search, semantic search, prompt/orchestration patterns, and AI agents. A commitment to Diversity, Equity, Inclusion, Belonging,



and Accessibility, helping create an environment where everyone feels welcomed, valued, and supported.

Experience working with unstructured and semi‑structured data.

Experience leading architecture for large‑scale transformation or migration programs. AWS or Azure).

Experience supporting or mentoring peers on technical design and implementation.

Experience with AI capabilities across platforms such as Azure AI, Databricks and Snowflake. We expect senior architects to lead the design while staying close to the build. We balance strong design with delivery realities We believe in investing in our people and helping them reach their potential as valuable members of our team.

Competitive salary & annual bonus Competitive & flexible health and dental perks, pension plan, RRSP, TFSA, and Stock matching programs. Enjoy up to 50% off Rogers Services and Blue Jays Tickets, 25% off TSC items, and a 20% discount on all wireless accessories sold in Rogers stores. Employee & Family Assistance Program

Virtual Healthcare

Our commitment to the environment and diversity:

Work for an organization committed to environmental protection Robust commitment to diversity and inclusion with employee resource groups supporting equity‑deserving groups including groups representing People of Colour, 2SLGBTQIA+, Indigenous Peoples, Persons with Disabilities and Women.

Work Arrangement: Team members work from the office full-time to support collaboration, learning, and connection across the business. To protect our people, brand and assets, a pre‑employment background check will be conducted. Schedule:Full time

Shift: Day

Length of Contract: Not Applicable (Regular Position)

Travel Requirements: Canadian Criminal Record Check

Technology & Information Technology To support career growth, collaboration, and high-performing teams, all Corporate Employees are expected to work onsite. We believe that in-person connection strengthens our culture and drives industry-leading performance. At Rogers, we believe the key to a strong business, is a diverse workforce where equity and inclusion are core to making everyone feel like they belong.

We do this by embracing our diversity, celebrating our different perspectives, and working towards creating environments that empower our people to bring their whole selves to work. We work with our candidates who are experiencing a disability throughout the recruitment process to ensure that they have what they need to be at their best. Pension plan & Employee stock options available for full-time and part time permanent employees, some restrictions apply #

📌 Remote Resident Solutions Architect (Calgary)
🏢 Rogers communications
📍 Calgary