Job Title: Senior Data Architect/Modeller
Location: Toronto, ON (Hybrid)
Estimated Duration: 6 Months

Requisition Title
Senior Data Architect/Modeller
Project 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.

Qualifications & Experience

  • Degree in Computer Science, Information Systems, Data Management, Engineering, or a related discipline, or equivalent experience.
  • Significant experience in enterprise data architecture, data modelling, data engineering, or related disciplines.
  • Demonstrated experience developing conceptual, logical, and physical data models and enterprise data architectures.
  • Experience designing modern data architectures supporting cloud, analytics, AI/ML, and enterprise integration.
  • Strong knowledge of data modelling, data integration, APIs, data platforms, metadata, master/reference data, and data quality concepts.
  • Understanding of data governance, data ownership, lineage, security, privacy, and information lifecycle management.
  • Knowledge of modern architecture approaches such as data lakehouse, data products, domain-oriented architecture, and cloud-based data platforms.
  • Ability to translate complex business and technical requirements into practical architecture standards, models, and patterns.
  • Strong stakeholder management, communication, documentation, and problem-solving skills.

The pay range that the employer reasonably expects to pay for this position is between CA$88.00 and CA$98.00

Our voluntary benefits offering includes medical, dental, vision and retirement benefits.

This posting is for an existing vacancy.

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Tundra Technical Solutions is a global workforce and technology delivery firm, ranked by Staffing Industry Analysts as one of the largest in North America. At Tundra, we aren't just hiring top talent at the world's most recognizable brands; we are pioneers of social recruitment. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other legally protected characteristics. We welcome and encourage diversity in the workplace.

We use artificial intelligence tools to help our recruiters screen and assess talent. These tools do not replace human decision making in the process.

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