Sr. Solution Architect

Sr. 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. 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 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.What you'll do:
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.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 designedParticipate 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 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.Nice to have:
Experience working with unstructured and semi-structured data.Experience leading architecture for large-scale transformation or migration programs.Cloud architecture certifications (e.G. AWS or Azure).Experience with streaming platforms such as Kafka.Experience in the telecommunications industry.Effective communication and stakeholder engagement skills.Experience supporting or mentoring peers on technical design and implementation.Experience with AI capabilities across platforms such as Azure AI, Databricks and Snowflake.How We Work
We design practical, production-ready data solutionsWe expect senior architects to lead the design while staying close to the build.We balance strong design with delivery realitiesWe collaborate across teams to move solutions forwardWhat's in it for you?
We believe in investing in our people and helping them reach their potential as valuable members of our team. As part of our team, you'll have access to a wide range of incredible resources, growth opportunities, discounts, and perks, including:Competitive salary & annual bonusCompetitive & flexible health and dental benefits, pension plan, RRSP, TFSA, and Stock matching programs.Discounts: 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.Paid time off for volunteeringCompany matching contributions to charities you supportGrowth & Development Opportunities:
Self-driven career development programsRogers First: priority in applying to internal roles of interest
Wellness Programs:
Employee & Family Assistance ProgramVirtual HealthcareCognitive Behavioural Therapy (CBT)Low or no-cost fitness membership
Our commitment to the environment and diversity:
Work for an organization committed to environmental protectionStrong 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. We all bring something different, and we know what makes us different makes us great.An inclusive and diverse workplace where you can bring your whole self to work.
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. As part of our selection process, all candidates must clear a criminal background check. Additionally, a credit check and drivers abstract may be required depending on the role.Schedule: Full timeShift: DayLength of Contract: Not Applicable (Regular Position)Work Location: Barlow 2400 32 Ave NE (7789), Calgary, ABTravel Requirements: NoneBackground Check(s) Required: Canadian Criminal Record CheckPosting Category/Function: Technology & Information TechnologyRequisition ID: 343996Location:Calgary, AB, CA Brampton, ON, CABeing a Rogers team member comes with some great perks & benefits including:Health & well-being benefitsDonation matchingPaid time off for volunteeringWealth Accumulation including: Pension plan & Employee stock optionsGenerous employee discountsLeadership development, Mentorship, and Coaching programs*available for full-time and part-time permanent employees, some restrictions apply
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