Sr Manager, Data Solution Architecture - Rogers, Brampton

AI Summary

Rogers is seeking a Sr Manager, Data Solution Architecture in Brampton, ON, with opportunities also available in Calgary, AB, and Vancouver, BC. This role involves leading a team of architects to design and deliver scalable, secure, and reusable data solutions across the organization. Key duties include shaping data and platform architecture, partnering with engineering teams, and fostering a build-oriented culture. Top requirements include extensive experience in designing data solutions, a strong understanding of cloud data platforms, and proven leadership in mentoring people.

About the Opportunity at Rogers

Join Rogers' Technology team, where the primary goal is connecting Canadians to the people and things that matter most. This team proudly supports 30 million Canadians monthly by managing a robust portfolio that champions leading-edge technology. As a Sr Manager, Data Solution Architecture, you will drive large-scale, complex, and high-visibility technology projects and programs that are instrumental in shaping the future of connectivity across Canada. This pivotal role sits within the Data & AI team, deeply rooted in data architecture and engineering, platform and application design, and data modeling for analytics and AI. You will guide your team in shaping end-to-end solutions, encompassing everything from data pipelines and semantic models to intricate integration patterns, ensuring robust and scalable data solutions are delivered.

Key Responsibilities and Impact

In this leadership position, you will lead and mentor a dynamic team of data and AI solution architects, cultivating a hands-on, build-oriented culture. Your support will empower architects to develop both deep design expertise and practical implementation skills, fostering an environment for experimentation, prototyping, and continuous learning with modern tools. A core aspect of your role will be architecting end-to-end solutions, where you will identify, document, and promote reusable architectural patterns, standards, and best practices across data and solution design. You will guide the design of scalable, secure solutions within the data and AI space, working across the entire lifecycle from high-level architecture to detailed design and implementation support, ensuring solutions balance reusability, performance, and real-world delivery constraints. Staying close to the build, you will partner with engineering teams during implementation, contributing to prototyping, design validation, and code reviews, bringing practical insight to mitigate potential production issues early. Shaping data and platform architecture involves leading the design of data models and data pipelines, ensuring quality, scalability, and usability. You will define patterns for data consumption, integration, and interoperability, collaborating closely with governance, security, and platform teams to ensure all solutions meet enterprise standards. Effective collaboration across the organization is crucial, working with product, engineering, and business teams to translate needs into practical solutions, influencing decisions through clear communication and pragmatic trade-offs. This role also encourages exploring emerging capabilities, particularly AI-enabled solutions and development approaches, fostering experimentation with tools that accelerate design and delivery.

Ideal Candidate Profile

Rogers recognizes that strong candidates come from diverse backgrounds. You are likely a great fit if you possess extensive experience in designing and delivering robust data solutions, including expertise in data pipelines (ETL/ELT, batch or streaming), data modeling (conceptual, logical, physical, semantic), and data integration and analytics platforms. A solid understanding of various data platforms and cloud environments, such as Azure, AWS, Databricks, Snowflake, or BigQuery, is essential. A hands-on mindset is expected, demonstrating comfort in participating in code reviews and technical discussions. Furthermore, proven experience in leading, mentoring, or influencing people is a key requirement for this senior management role. Candidates who stand out will also demonstrate a keen interest and/or experience in AI/ML or AI-enabled data use cases, exposure to broader solution architecture, and experience aligning data architecture with governance and quality practices. A pragmatic approach, knowing how to balance ideal design with delivery realities, is highly valued. Rogers operates with a data-first philosophy, values practical solutions over theoretical perfection, and supports people in growing into adjacent areas, fostering continuous development within the technology space.