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Publié il y a 6 jours

Senior Data Architect/Modeller JP239

@ Pathlion

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Toronto, Ontario

Temps plein
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SIGNAUX

En bref

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.

Responsabilités :

  • 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

Résumé des exigences :

  • 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 et dates

Type de source non vérifié · manatal

Date publiée par l’employeur
2026-11-04
Première détection par notre source
2026-11-05
Mise à jour du dossier source
2026-11-05

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

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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.

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