Job Description

Job Description

Job Title: Senior Data Architect

Location:
Remote, Canada Seniority on the skill/s required on this requirement: Senior Estimated Duration: 1 year with possible extension to another 1 year Work authorization: any (candidate must be authorized to work in CA)

Job Description
We are seeking a Senior Data Architect to provide architectural leadership and strategic direction for a high-profile, enterprise-wide data transformation initiative. Operating within a mature Data Centre of Excellence, this role is critical to designing, governing, and delivering scalable, secure, and sustainable data assets across combined cloud and on-premise environments. The ideal consultant will bring deep expertise in modern data platforms, data product development practices, and federated data ecosystems to help advance a cultural shift toward treating data as a strategic enterprise asset.

Responsibilities:

Architecture & Strategy Leadership Lead the design and delivery of enterprise and solution architecture for data platforms, AI-enabled data products, and data integration solutions across platforms such as Snowflake, Microsoft Azure, and Cloudera Provide architectural guidance in cloud environments, including solution design for AI-enabled data products, agentic frameworks, secure data sharing frameworks, and data linkage capabilities Define and govern enterprise data models, architecture standards, and best practices Translate business strategies and priorities into scalable, secure, and high-performing data architecture solutions Provide thought leadership in Data Management, Analytics, and AI-driven architecture Data Platform & Product Enablement Support the design, development, and delivery of data products within Data Fabric and/or Data Mesh frameworks across Snowflake,



Microsoft Azure, and Cloudera environments Guide the implementation of data linkages, crosswalk frameworks, integration patterns, and secure data sharing frameworks to enable consistent, governed, and reliable data exchange Establish frameworks for data quality, metadata management, and AI-enabled data assets Contribute to the design of semantic layers and data models that support reusable and interoperable data products Develop and validate proof-of-concept solutions, including data integration, orchestration, and AI-enabled and agentic use cases Stakeholder Engagement & Advisory Lead workshops, discovery sessions, and stakeholder engagements to define and validate requirements and business value Provide architectural consultation and recommendations to leadership, project teams, and stakeholders Prepare and deliver presentations to steering committees and senior stakeholders Facilitate alignment and consensus on complex data, AI, and technology solutions across diverse stakeholder groups Governance, Standards & Innovation Define and promote best practices in data governance, data sharing, secure data exchange, data integration, and data quality Support data modernization initiatives, including cloud adoption, platform transformation, and AI enablement across Snowflake, Microsoft Azure, and Cloudera Evaluate and recommend emerging technologies, including AI and agentic frameworks, to optimize data product delivery,



interoperability, and cost efficiency Ensure alignment with enterprise priorities, including security, privacy, information management, data classification, and secure data sharing standards Delivery Support & Collaboration Collaborate with data architects, engineers, scientists, and product teams to ensure consistent architecture and design across initiatives Review solution designs, data models, and pipelines across cloud and hybrid platforms, providing guidance on optimization, scalability, and performance Support the development of sustainable and scalable processes for data product delivery Manage tasks, track action items, and escalate risks or issues as required Coordinate inputs, approvals, and sign-offs across stakeholders and departments Leadership & Organizational Enablement Coach, mentor, and support team members in developing innovative data and AI-driven solutions Promote a client-centric, service-oriented delivery approach Foster a culture of innovation, continuous improvement, and data as a strategic asset Build and maintain solid relationships with internal and external stakeholders Architecture designs, models, and recommendations aligned with project and enterprise needs Data product, AI solution, and platform design artifacts across Snowflake, Microsoft Azure, and Cloudera Proof-of-concept implementations, including AI-enabled and agentic use cases, and technical assessments Documentation supporting data linkages, semantic layers, integration patterns, and secure data sharing frameworks Weekly and monthly status reports

Requirements:
The proposed resource must meet or exceed one of the following: University graduation in business, management or a related discipline and 6-

📌 Senior Data Architect (Canada)
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