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Added 6 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 6 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 6 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 7 hours ago
M
Cloud Solution Architect - AI Apps
Microsoft
Calgary, AB · Vancouver, BC
- Full-time
We are looking for a Cloud Solution Architect (CSA) who is passionate about driving our customers’ application innovation & AI transformation on the Microsoft platform. As part of this…
Added 10 hours ago
'
Global Lead, Digital Procurement
''
Toronto, ON
- Full-time
- Other
Acting as the architect and owner of the Global Digital Procurement Strategy and Roadmap, the Global Lead, Digital Procurement ensures that our technology ecosystem, data foundation, and…
Added 16 hours ago
ES
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- Full-time
The Platform & Enterprise Technology team at Euna Solutions sets the architectural foundation that every product in the portfolio runs on, and this role owns that foundation. As Senior…
Added 16 hours ago
M
Cloud Solution Architect - AI Apps
Microsoft
Vancouver, BC
- Full-time
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Added 1 day ago
FT
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- Full-time
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Added 1 day ago
FT
Agent Deployment Engineer
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Toronto, ON
- Full-time
…Engineers are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build…
Added 1 day ago
TS
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Toronto, ON · North York, ON
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Our client is seeking an experienced Senior Software Engineering Lead / Architect to join a product-focused engineering organization operating within a highly regulated environment.
Added 1 day ago
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Vancouver, BC
This exciting role offers the opportunity to architect and enhance software applications used to create games, at an Enterprise level. You will have the chance to work with game teams…
Added 1 day ago
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Associate Vice President, Small Business Banking, Data and Analytics, Insights & Artificial Intelligence
TD
Toronto, ON
- Full-time
Act as a strategic partner to businesses in achieving critical business outcomes through the delivery of data-driven insights, analytics and AI solutions
Added 1 day ago
AC
Full-time Enterprise CRM Integration Specialist
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- Full-time
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Added 1 day ago
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Added 1 day ago
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London, ON
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Added 1 day ago
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Senior IT Infrastructure Administrator, DevOps
Style Analytics
Montreal, QC
- Full-time
Relevant cloud or automation certifications such as Microsoft Azure Administrator, AWS Solutions Architect or HashiCorp Terraform Associate.
Added 1 day ago
SA
Senior IT Infrastructure Administrator, DevOps
Style Analytics
Toronto, ON
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Relevant cloud or automation certifications such as Microsoft Azure Administrator, AWS Solutions Architect or HashiCorp Terraform Associate.
Added 1 day ago
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Added 1 day ago
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Added 1 day ago
MS
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Added 1 day ago
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Added 1 day ago
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Senior IT Infrastructure Administrator, DevOps
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Added 1 day ago
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Senior IT Infrastructure Administrator, DevOps
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Relevant cloud or automation certifications such as Microsoft Azure Administrator, AWS Solutions Architect or HashiCorp Terraform Associate.

S M Software Solutions Inc

RQ00239 – Senior Data Architect/Modeller

Toronto, ON, Canada

Hybrid

Internship

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Job details

Job type: Internship
Workplace: Hybrid
Apply by: Dec 7, 2026
Posting language: English
Posted: Nov 7, 2026

Original job description

Client: Metrolinx – RQ00239

We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data platforms, data engineering, and AI/ML solutions. The ideal candidate will have strong knowledge of modern Azure data and AI technologies, including Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, along with expertise in data governance, metadata, data lineage, integration, and data quality. The successful candidate will play a key role in designing and evolving enterprise data architecture, establishing reusable data models and architecture standards, and enabling scalable, governed, and AI-ready data solutions across the organization.

Role Snapshot

Job Title: RQ00239 – Senior Data Architect/Modeller
Client: Metrolinx
Work Location: 277 Front Street West, Toronto, Ontario, Canada, M5V 2X4
Work Arrangement: Hybrid – 3 Days per Week Onsite
Start Date: November 23, 2026
End Date: April 23, 2027
Business Days: 110.00
Hours: 7.25 hours per day
Public Sector Experience: Preferred but not required

Must Have

Significant experience designing enterprise data architectures and conceptual, logical, and physical data models for AI/ML, Generative AI, analytics, and cloud workloads, including the data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.
Deep technical expertise in modern cloud data platforms, data engineering, integration, APIs, metadata, lineage, and data quality, with strong knowledge of the Azure data and AI ecosystem, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry, and architectural patterns supporting scalable AI/ML solutions.
Strong understanding of data governance, data ownership, lineage, data quality, security, privacy, and information lifecycle management, with the ability to design governed, traceable, and fit-for-purpose data architectures that support the AI/ML and model lifecycle.

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 lake house, 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.

How to Apply

If you are interested and your profile matches the requirements, kindly submit the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
Skills Matrix and References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Please note that we cannot proceed with your submission without the following mandatory documents.

WhatsApp Group

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Additional Information

Work Arrangement: Hybrid.
Public Sector Experience: Preferred but not required.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Design and evolve enterprise data architecture, models, integration patterns, and reusable data products for analytics, AI/ML, and operational use cases. Establish architecture standards and work with governance, business, data, and technology teams to improve data quality, lineage, ownership, reuse, and interoperability.

Requirements

Requires significant experience in enterprise data architecture, data modeling, data engineering, and cloud-based solutions, including conceptual, logical, and physical models for AI/ML and analytics. Candidates should understand Azure data and AI technologies, governance, integration, metadata, lineage, security, privacy, and data quality, and be able to translate business and technical needs into scalable architecture patterns.

Skills

Enterprise Data Architecture
Conceptual, Logical, And Physical Data Modeling
Cloud Data Platforms
Azure Machine Learning
Microsoft Foundry / Azure AI Foundry
Data Engineering
AI/ML Architecture
Generative AI
Data Governance
Data Integration
APIs
Metadata Management
Data Lineage
Data Quality
Data Security And Privacy
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Conceptual Data Models
Logical Data Models
Physical Data Models
Azure
Azure Machine Learning
Microsoft Foundry
Azure AI Foundry
Cloud Data Platforms
Data Engineering
Artificial Intelligence
Machine Learning
Generative AI
Retrieval-Augmented Generation
Feature Engineering
AI/ML Pipelines
Data Governance
Data Ownership
Metadata
Data Lineage
Data Quality
Data Integration
APIs
Master Data
Reference Data
Data Lakehouse
Data Products
Domain-Oriented Architecture
Interoperability

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