Sr. Solution Architect
Rogers Communications, Inc.
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Benefits offered by this job
Job summary
Rogers Communications, Inc. in Calgary, AB is seeking a hands-on Senior Solution Architect to lead end-to-end data and AI architectural efforts. You will drive scalable, secure data and AI solutions across data, integration, and analytics environments.
You’ll provide technical leadership, collaborate with business partners and platform teams, and translate complex requirements into production-ready designs while advancing governance and security standards.
Qualifications
- University degree in computer science, information technology, data management or equivalent.
- 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.
- Cloud experience with 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.
- 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.
- Commitment to Diversity, Equity, Inclusion, Belonging, and Accessibility.
Responsibilities
- Lead Data Solution Design: assess requirements and translate 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).
- Evaluate alternatives based on requirements, constraints, cost, scalability, and performance.
- Identify architectural risks, dependencies, and trade-offs early.
- Define Data and AI Architecture Patterns: design data architectures and models for performance and reuse.
- Develop patterns for structured, semi-structured, and unstructured data; GenAI, RAG, vector search, and AI agents.
- Design secure integration patterns across platforms and models.
- Incorporate identity, RBAC, privacy and governance into designs.
- Provide Technical Leadership Through Delivery: lead teams through discovery to production readiness.
- Collaborate Across Teams: align with enterprise data/AI strategies and communicate decisions clearly.
- Assess and Improve Solutions: modernize architectures, assess impacts, and address technical debt.
Skills
Education
Tools
Job description
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.
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.
- 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.
- 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.
- 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.
- We design practical, production-ready data solutions
- We expect senior architects to lead the design while staying close to the build.
- We balance strong design with delivery realities
- We collaborate across teams to move solutions forward
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 bonus
- Competitive & 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 volunteering
- Company matching contributions to charities you support
- Growth & Development Opportunities
- Self-driven career development programs Rogers First priority in applying to internal roles of interest
- Wellness Programs
- Employee & Family Assistance Program Virtual Healthcare Cognitive Behavioural Therapy (CBT) Low or no-cost fitness membership
- Our commitment to the environment and diversity
- Work for an organization committed to environmental protection
- Strong 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.
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.
Full time
Shift Day
Length of Contract Not Applicable (Regular Position)
Work Location Barlow 2400 32 Ave NE (7789), Calgary, AB
Travel Requirements None
Background Check(s) Required Canadian Criminal Record Check
Posting Category/Function Technology & Information Technology
Requisition ID 343996
Technology
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. Everyone who applies for a job will be considered. We recognize the business value in creating a workplace where each team member has the tools to reach their full potential by removing any barriers for equal participation. 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.
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