Senior Data Architect/Modeller JP239

Pathlion; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Pathlion is seeking a Senior Data Architect/Modeller to design and evolve enterprise data architecture and models that enable scalable analytics, AI, and data products. You will define future-state architecture, identify critical data assets, and set governance-ready standards across platforms.

Collaborating with business, Data & AI, engineering and technology teams, you will translate requirements into scalable data solutions, promote interoperability, and reduce data silos to unlock

Responsibilities

• Design and maintain enterprise data architecture and data models across conceptual, logical, and physical layers.
• Define scalable patterns for data integration, storage, transformation, sharing, and consumption.
• Create reusable data products and common data models for multiple business and AI use cases.
• Contribute to future-state architecture, guiding transitions from legacy platforms.
• Identify critical data assets and domains to support enterprise priorities.
• Establish standards for data architecture, modelling, interoperability, and integration.
• Embed data ownership, quality, metadata, lineage, and lifecycle requirements with governance teams.
• Assess data needs for AI, Generative AI, ML, analytics, and reporting initiatives.
• Collaborate with business, Data & AI, architecture, engineering, and technology teams to translate requirements.
• Identify gaps, silos, and opportunities to improve data reuse and interoperability.

Job description

The Senior Data Architect/Modeller will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products. The role will help establish the future-state data architecture, identify critical data assets, and define standards and integration patterns that enable data to be governed, reusable, accessible, and AI-ready.

Key Responsibilities

• Design and maintain enterprise data architecture and conceptual, logical, and physical data models supporting AI, analytics, and operational use cases.
• Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.
• Design reusable data products and common data models that can support multiple business and AI use cases.
• Contribute to the organization's future-state data architecture, including transition from existing platforms and architectures.
• Identify and define critical data assets and domains required to support enterprise priorities.
• Establish and promote enterprise data architecture, modelling, interoperability, and integration standards.
• Partner with Data Governance teams to embed data ownership, quality, metadata, lineage, classification, and lifecycle requirements into architecture and data products.
• Assess data requirements and architecture implications for AI, Generative AI, machine learning, advanced analytics, and reporting initiatives.
• Work with business, Data & AI, architecture, engineering, and technology teams to translate business requirements into scalable data solutions.
• Identify architecture gaps, duplication, data silos, and opportunities to improve data reuse and interoperability across the enterprise.