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Information Technology

Bring your skills and experience as a Data Solutions Architect to lead the design and delivery of enterprise-scale solutions that enable advanced analytics, AI-driven capabilities, and seamless integration across Bell’s technology ecosystem. This role is critical to Bell’s digital transformation—modernizing legacy systems, enabling AI-ready data ecosystems, and fostering architectural excellence. You will own the vision and backlog for key data products while driving technical architecture and execution across teams. 

What you’ll be doing as a Data Solutions Architect:

·       Serve as Product Owner for the Enterprise Data Platform, defining vision, prioritizing features, and managing backlog to deliver business-critical capabilities.

·       Align roadmap and architecture decisions with Bell’s data strategy, ensuring scalability, governance, and AI enablement.

·       Architect and optimize API layers, Data Lakehouse and integration patterns for secure, governed, and high-performance access to enterprise data and services.

·       Provide technical leadership across teams, guiding design reviews and ensuring adherence to enterprise standards.

·       Collaborate with engineering and vendor teams to unblock technical challenges, resolve dependencies, and maintain delivery velocity.

·       Champion CI/CD adoption and automation for data pipelines and release processes to accelerate delivery and reduce risk.

·       Mentor engineers in Python, Spark, Databricks, and event-driven orchestration to upskill the team for modern data engineering practices.

·       Influence enterprise architecture strategy, including system modeling using tools like CAMEO to document architecture, data flows, and interfaces.

·       Communicate architecture decisions and technical strategy through clear documentation, design reviews, and stakeholder engagement.

Skills You Bring To this Role:

·       Bachelor's Degree in Computer Science, Management Information Systems, or other similar discipline is required.

·       10+ years experience in Information Technology (IT) and/or other IT related role.

·       Expertise in software architecture, API design, and cloud-native platforms (Azure preferred).

·       Strong knowledge of data engineering, data integration, and modern data architectures (Data Lakehouse, Databricks).

·       Skilled in Product Ownership, including backlog management, feature prioritiza