Jobs in Canada

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Added 6 months ago
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Machine Learning Engineer, Detection (TOR)
Doppel
Toronto, Ontario
- Full-time
Design, train, and deploy models for both batch and real-time inference that identify malicious or infringing content across diverse data sources.
Added 6 months ago
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Applied Scientist AI/ML
Opendoor
Toronto, Ontario
- Full-time
We’re looking for an Applied Scientist (ALL LEVELS) to push the boundaries of applied machine learning and AI at Opendoor. While this role will have a significant impact on our valuation…
Added 6 months ago
WI
Intermediate Environmental Engineer or Scientist
WSP in Canada
St. Catharines, Ontario
- Full-time
You’ll collect, document, and manage environmental field data following WSP standards and industry protocols.
Added 6 months ago
WI
Intermediate Environmental Engineer or Scientist
WSP in Canada
St. Catharines, Ontario
- Full-time
You’ll collect, document, and manage environmental field data following WSP standards and industry protocols.
Added 6 months ago
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Machine Learning Engineer, Underwriting
Bree
Remote, Canada
- $130,000 to $230,000 CAD / year
- Full-time
- Remote
Work with structured and unstructured data, leveraging Pandas, NumPy, and SQL for efficient data manipulation.
Added 4 months ago
LT
Data Scientist
Larus Technologies
Ottawa, Ontario
- Full-time
…of self-motivated individuals to join the Larus Labs team as Data Scientists, where we develop end-to-end real-time solutions for the enterprise market. We perform leading-edge research in…
Added 3 months ago
AC
Junior Environmental Scientist
AllRock Consulting Limited
Ottawa, ON
- Full-time
The Position - Junior Environmental Scientist
Added 2 months ago
Environmental Engineer/Scientist
GHD Group Pty Ltd
Peterborough, ON
The Peterborough, ON office of GHD is growing our team and is looking to add an Intermediate Environmental Engineer or Scientist to our Contamination, Assessment and Remediation (CAR) team!…
Added 6 months ago
PH
Research Assistant 2, Innate Lymphoid Cell and NK Cell Engineering, Crome Lab, Terry Fox Lab - BC Cancer Vancouver
Provincial Health Services Authority
Vancouver, British Columbia
- Full-time
This position is ideal for an early career scientist seeking advanced technical training in immune cell biology and translational research, with the opportunity to grow into a senior…
Added 6 months ago
PH
Postdoctoral Fellow - Innate Lymphoid Cells and Spatial Genomics in Type 1 Diabetes, Crome Lab, Terry Fox Laboratory - BC Cancer Vancouver
Provincial Health Services Authority
Vancouver, British Columbia
- Full-time
…using Xenium spatial transcriptomics, and integrating these data with multiplex histology and functional precision-cut human pancreas slice models. These complementary platforms will enable…
Added 6 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
…You'll own the complete development lifecycle, from synthetic data generation and model development to deploying production APIs and services that autonomous agents will consume. Your work…
Added 3 months ago
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Lead Data Scientist
Sixone
Burnaby, British Columbia
- Full-time
This role focuses on applying data science and machine learning techniques to make real-time sorting and process decisions. Your team’s core challenge is to build robust representations of…
Added 2 months ago
Analog/Mixed Signal Architect
Lightmatter
Toronto, ON
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 4 months ago
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Staff AI Data Scientist
Verily
Remote, Canada
- Full-time
- Remote
As an AI and Data Scientist at Verily, you will be supporting our core mission to build advanced data and AI capabilities for Verily's portfolio of products. You will help drive innovation…
Added 6 months ago
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Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
Added 6 months ago
SG
Senior Machine Learning Engineer
Spexi Geospatial
Remote, Canada
- $200,000 to $250,000 CAD / year
- Full-time
- Remote
…access high-resolution aerial imagery and valuable derivative data, powering remote monitoring of buildings, infrastructure, natural resources, and more. Our goal is to guide their…
Added 6 months ago
A
Principal Data Scientist (m/f/d)
AutoTrader.ca
Toronto, Ontario
- Full-time
Join our global Data Science team and take a leadership role in shaping the future of the automotive marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist,…
Added 3 months ago
Q
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, ON
- Full-time
Added 2 months ago
Digital Architect
Lightmatter
Toronto, ON
Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine,…
Added 4 months ago
A
Part Time - Data Architect
Architech
Toronto, ON
- Part-time
Build the data foundation that makes enterprise AI possible. Design secure, scalable platforms across Fabric, Azure and Databricks that make data ready for analytics and AI.
Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
…learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
Added 6 months ago
F
NLP Research Fellow
FairwAI
Remote, Canada
- Remote
We’re seeking a brilliant, mission-aligned NLP intern to join the team - our hospital equity analytics unit. You'll help us extract meaningful signals from real-world review data, such as:
Added 4 months ago
Research Scientist/Principal Research Scientist
WELL Health Technologies Corp
Toronto, Ontario
Review chromatograms and data integration, investigate atypical results, and recommend corrective actions.
Added 4 months ago
WM
Business Scientist, Energy Intelligence
Wyse Meter Solutions Inc
Vaughan, Ontario
- $75,000 to $120,000 CAD / year
- Full-time
The Business Scientist, Energy Intelligence helps accelerate Wyse’s energy intelligence strategy - harvesting data into actionable insight and workflows that create value on both sides of…

Architech

Part Time - Data Architect

Toronto, ON, Canada

Part-time

Apply on careers-page.com About employer

Applications open in a new tab.

Job details

Job type: Part-time
Posting language: English
Posted: Jul 13, 2026

Original job description

Build the data foundation that makes enterprise AI possible. Design secure, scalable platforms across Fabric, Azure and Databricks that make data ready for analytics and AI.

Join Us in Building the Future
At Architech, we don’t just ship software. We partner with North America’s leading brands to modernize legacy platforms, embed AI into real operations, and launch digital products that transform business outcomes. Our engineers and designers harness cloud-native tools, autonomous agents, data-driven insights, and GenAI to drive measurable impact - replatforming systems in the cloud, optimizing customer journeys, or accelerating AI adoption across the enterprise. You’ll work at the intersection of strategy and execution, solving complex problems alongside smart, curious teammates across Canada and Poland. Backed by 20+ years of experience, a drive for excellence, and a culture rooted in growth and collaboration, this is where you thrive if you’re looking to deliver meaningful, high-stakes software solutions.

We’re Building a More Inclusive Tech Industry
We believe diversity leads to better outcomes. Nearly half of our team was born outside of Canada, and we speak 19+ languages. We’re 31% women, 57% BIPOC, and 14% LGBTQIA+. We’ve doubled the number of women in tech roles in the past year, and maintain a 0% gender pay gap across our delivery and technology teams. Inclusion here isn’t a buzzword, it’s backed by data, policy, and accountability.

How We Work Together
We’re a close-knit, collaborative group who care about doing excellent work, and doing it with integrity. Our values shape how we show up every day:
• Think Big – Dream it, plan it, ship it
• Be Open & Collaborate – Diverse minds build better solutions
• Never Fail a Client – Own the outcome
• Grow Our People – Feedback, learning, leadership
• Do the Right Thing – Even when it’s hard
• Embrace Change – Adapt fast, stay curious

Our people say it best: “Employees of different backgrounds interact well within our company” - and 97% agree. Another 96% say “Architech respects individuals and values their differences.”

Data Architect (Microsoft Azure / Microsoft Fabric / AWS/ Databricks)

Role Overview

The Data Architect (Azure Data Architect or Data Platform Architect) designs and leads the build-out of scalable, AI-ready data solutions using Microsoft Fabric, Azure, or AWS with Databricks data ecosystem. This role connects business goals to data architecture, ensuring platforms are secure, performant, and optimized for analytics and AI use cases.

You will define how data flows from raw ingestion (bronze) through transformation (silver) to curated, analytics-ready models (gold). You will collaborate with engineering and business peers to design data environments that enable analytics, automation, and AI-driven insight.

Key Responsibilities

Architect Microsoft Fabric environments: Design end-to-end data architectures, defining ingestion, transformation, and curation patterns that support analytics and AI workloads.
Lead Design and implement scalable data architectures on Databricks, including lakehouse solutions leveraging Delta Lake, Unity Catalog, and medallion architecture (bronze/silver/gold layers) to support enterprise analytics and ML workloads.
Lead Design and manage data lake architectures - Ensure efficient replication, synchronization, and data flow across Fabric workspaces and multi-zone environments.
Define business-aligned data models - Partner with stakeholders to understand reporting, analytics, and AI needs and design scalable, flexible data models.
Define data governance, security, and access control strategies - Use Unity Catalog and Microsoft Purview for centralized metadata management, fine-grained permissions, RBAC, encryption (at rest/in transit), data masking, and lineage tracking across workspaces.
AI readiness - Define structures, metadata, and access patterns that make data discoverable and usable for AI workloads such as retrieval-augmented generation (RAG), intelligent search, and summarization.
Familarity in implementing and managing Databricks Genie to enable self-service, natural language querying of enterprise data, empowering business users with AI-driven insights.
Framework alignment - Ensure all data architectures align with Microsoft's Cloud Adoption Framework (CAF) and the Azure/AWS Well-Architected Framework for consistency, scalability, and governance.
Performance and cost optimization - Guide architecture decisions related to Fabric SKUs, OneLake storage, and data refresh strategies for efficient scale and cost.
Collaboration and mentorship - Work closely with Data Engineers to translate architecture into delivery, promote data quality, and ensure design consistency.
Documentation and enablement - Produce reference architectures, blueprints, and reusable standards that accelerate future projects and maintain governance consistency.

Skills and Qualifications

7+ years of experience in data architecture, data engineering, or data platform design, including:

At least 2 years working within the Microsoft Azure data ecosystem (Fabric, Synapse, ADF, Power BI).

At least 2 years of hands-on experience with Databricks (Delta Lake, Unity Catalog, lakehouse architecture).

Strong grasp of data lakehouse design principles, including ELT/ETL patterns, medallion architecture (bronze/silver/gold), and schema evolution.
Proficiency in SQL, with working knowledge of Python for automation, validation, and pipeline scripting.
Hands-on experience with data governance and metadata management tools, such as Microsoft Purview and/or Databricks Unity Catalog.
Practical understanding of data security fundamentals - RBAC, encryption (at rest/in transit), data masking, and privacy best practices.
Strong communication and cross-functional collaboration skills, with the ability to translate business needs into technical architecture and work across engineering, analytics, and business teams.
Strategic, iterative mindset - comfortable operating in AI-ready, fast-evolving, client-facing environments.

Tools and Technologies

Microsoft Fabric, Azure Data Factory, Synapse, Power BI, Azure SQL, Databricks, Data Lake Storage, Vector DB, Microsoft Purview, Python, SQL, Git, Terraform or Bicep, Azure Monitor.

Nice to Have

Experience applying architecture frameworks - Microsoft's Cloud Adoption Framework (CAF) and/or the Azure/AWS Well-Architected Framework to ensure scalability and governance consistency
Exposure to AI/semantic data enablement - metadata enrichment, retrieval-augmented generation (RAG), knowledge graph design, vector databases, and embedding pipelines.
Familiarity with modern data architecture paradigms - data product thinking, domain-driven design, or data mesh principles.
Familiarity with vector databases, semantic search, and embedding pipelines.
Familiarity with our data sources - exposure to platforms such as ChurnZero, Zendesk, Salesforce, Gong, and RocketLane is a plus.

Architech is an equal opportunity employer committed to diversity. Should you require any accommodations prior to or during the interview process, please indicate this during the interview process. We strongly encourage applications from racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities.

Apply on careers-page.com About employer

More about this job

Responsibilities

Design and lead the implementation of scalable, AI-ready data architectures using Microsoft Fabric, Azure, and AWS with Databricks. Define data flows from raw ingestion to curated models while ensuring security, governance, and alignment with cloud frameworks.

Requirements

Requires over 7 years of experience in data architecture, including at least 2 years each with the Microsoft Azure ecosystem and Databricks. Proficiency in SQL, Python, and data governance tools like Microsoft Purview or Unity Catalog is essential.

Skills

Microsoft Fabric
Azure Data Factory
Databricks
Delta Lake
Unity Catalog
SQL
Python
Microsoft Purview
Data Modeling
Data Governance
Medallion Architecture
ETL/ELT
Cloud Adoption Framework
Vector Databases
RAG
Terraform

Benefits

Learning Budgets
Internal Bootcamps
Certification Bonuses
Summit Days

Visa sponsorship

Not detected in the job text

Keywords

Microsoft Fabric
Azure
AWS
Databricks
Delta Lake
Unity Catalog
Medallion Architecture
Microsoft Purview
SQL
Python
RAG
Vector DB
Cloud Adoption Framework
Well-Architected Framework
Data Lakehouse
Data Mesh
Domain-Driven Design
Terraform
Bicep
Azure Monitor
Synapse
Power BI
Azure SQL
Data Governance
Metadata Management
RBAC
Encryption
Data Masking
ChurnZero
Zendesk

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Work requirements

Jobs in Canada