Posted 2 days ago
Senior Data Architect/Modeller JP239
@ Pathlion
Toronto, Ontario
Overview
Pathlion is hiring a Senior Data Architect/Modeller on a full-time basis to design and evolve enterprise data architecture and data models for analytics, AI and data products. The work covers future-state architecture, critical data assets, governance-aligned standards and integration patterns that make data reusable, accessible and AI-ready.
Responsibilities:
- Design and maintain enterprise data architecture and data models
- Define scalable architecture patterns for data integration and sharing
- Design reusable data products and common data models
- Establish architecture and modelling standards
- Partner with Data Governance teams on ownership, quality and lineage
Requirements summary:
- Senior experience in enterprise data architecture and modelling
- Understanding of AI, analytics and reporting data needs
- Ability to translate business requirements into data solutions
- Knowledge of governance, metadata and lifecycle requirements
Source and dates
Source type not verified · manatal
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-05
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Pathlion
| Field | Value |
|---|---|
| Open jobs on Jobsy | 82 |
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.
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