Find work in Canada.

623,247 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 5 days ago
QW
GenAI Engineer
Quantum World Technologies Inc.
Toronto, ON
- Contract
Integrate GenAI solutions with REST APIs, backend services, and enterprise systems.
Added 5 days ago
C
Winter 2027 : AI Developer Co-op (8 months)
CGI
Toronto, ON
- Full-time
The AI Developer (Co-op) will contribute to the design, development, and deployment of AI-powered software solutions, with a strong focus on Generative AI, Agentic AI, LLM integration, and…
Added 5 days ago
R&
Staff AI Developer - Toronto
Robots & Pencils
Toronto, ON
- Full-time
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 5 days ago
TR
Principal Engineer
Thomson Reuters
Toronto, ON
- Full-time
Expertise with modern UI frameworks (React, Angular, Vue, or similar), TypeScript, Node.js, and Python.
Added 5 days ago
CT
Generative AI Engineer
Celebal Technologies
Canada
- Full-time
We are seeking a motivated Generative AI Engineer with 1–3 years of experience in Machine Learning, Generative AI, and Large Language Models (LLMs). The ideal candidate should have strong…
Added 5 days ago
Z
Software Engineer, Backend (All Levels)
Zip
Toronto, ON
- Full-time
Experience with web application and API development in production environments. At Zip, our stack includes Python, Javascript, React, and GraphQL.
Added 5 days ago
KG
Enterprise Data Architect – Snowflake & Cortex
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Stakeholder Engagement: Engage with business and technology stakeholders to understand data, analytics, AI, and cloud transformation requirements.
Added 5 days ago
NS
Senior Data Architect
Nimble Science
Calgary, AB
- Full-time
Experience with data warehouses, data lakes, lake house and modern cloud-based data platforms.
Added 5 days ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- $80 to $85 CAD / hour
- Contract
This opportunity is ideal for a hands-on developer with a strong combination of Artificial Intelligence expertise and core software engineering capabilities.
Added 5 days ago
UH
Software Developer
University Health Network
Toronto, ON
- Full-time
UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western…
Added 5 days ago
Staff AI Developer - Vancouver
Robots and Pencils
Vancouver, BC
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 5 days ago
ES
Data Science Generative AI and Data Engineering
Enterprise Solutions Inc.
Toronto, ON
- Contract
Experience with Python, SQL, vector databases, embeddings, and AIML frameworks
Added 5 days ago
Staff Engineer / AI Builder - Toronto
Robots and Pencils
Toronto, ON
Strong Python and Node.js skills, with experience building full-stack applications and RESTful APIs
Added 5 days ago
E
APPLIED AI SOFTWARE DESIGNER
Ericsson
Ottawa, ON
- Full-time
We are seeking an Applied AI Software Designer with 2–4 years of software engineering experience and hands-on experience applying AI to developer workflows. You will use Large Language…
Added 5 days ago
GD
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google DeepMind
Toronto, ON
- Full-time
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
Added 5 days ago
Research Scientist, Memory, Reasoning and Continual Learning, DeepMind
Google
Toronto, ON
Experience with Deep Learning, Reinforcement Learning, Natural Language Processing, or architectures for Continual/Lifelong Learning.
Added 5 days ago
CC
RQ11828 - Software Developer - Intermediate
CCI- Computer Consultants International, Inc.
Toronto, ON
- Full-time
· Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.
Added 5 days ago
C
Ingénieur de données senior
CGI
Montreal, QC
- Full-time
They work in modern analytics environments, primarily Azure, and collaborate with technical teams, business analysts, architects, BI teams and business stakeholders to deliver solutions…
Added 5 days ago
Q
FY27 Intern - Design Verification Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
…lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This…
Added 5 days ago
UC
Senior AI Developer
UniSysTech Consulting
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Other
We are seeking an experienced Senior AI Developer to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Machine Learning solutions. In this role,…
Added 5 days ago
Q
FY27 Intern - Qualcomm SoC Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Familiarity with one or more programming or hardware languages such as Verilog, SystemVerilog, C, C++, Python
Added 5 days ago
IG
Principal Platform Engineer
Insight Global
Vancouver, BC
- Full-time
Remain hands-on with Python while owning key architecture decisions
Added 5 days ago
Senior Data Scientist
Conviva
Toronto, ON
…Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are…
Added 5 days ago
AI/ML Engineer
Conviva
Toronto, ON
…Bowls, 10 Olympic Games, and five FIFA World Cup tournaments. With full-census, real-time, stateful analytics, Conviva shows what consumers actually experience, not just whether systems are…
Added 5 days ago
I
Technology Analyst - GenAI
Infosys
Mississauga, ON
- Full-time
Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch).

K&K Global Talent Solutions INC.

Enterprise Data Architect – Snowflake & Cortex

ON, Canada
Ontario, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: Experience: 14+ years in Enterprise Data Architecture, AWS Data Platforms, Snowflake, Data Engineering, and Cloud Modernization.
Posting language: English
Posted: Nov 3, 2026

Original job description

Position: Enterprise Data Architect – AWS Snowflake & Cortex

Location: Toronto, ON (Hybrid)

Job type: Full time/Permanent hiring

The Enterprise Data Architect is responsible for defining end-to-end architecture for AWS Snowflake-based data, analytics, and AI platforms. Operating at the intersection of data engineering, cloud modernization, and AI enablement, you will design scalable Lakehouse solutions, lead platform migrations, and establish governance, security, and responsible AI standards. This role requires deep expertise in AWS Data Services, Snowflake Cortex, Apache Iceberg, and enterprise data architecture to deliver secure, high-performance, AI-enabled analytics at enterprise scale.

Roles & Responsibilities

Stakeholder Engagement: Engage with business and technology stakeholders to understand data, analytics, AI, and cloud transformation requirements.
End-to-End Architecture: Define end-to-end architecture for AWS Snowflake-based data, analytics, and AI platforms.
Lakehouse Design: Design scalable, secure, high-performance Lakehouse solutions using AWS Data Services, Snowflake, Apache Iceberg / Snowflake Open Catalog, and Snowflake Horizon Catalog.
Data Engineering & Integration: Architect data ingestion, integration, batch, streaming, and data engineering solutions supporting enterprise analytics and AI use cases.
AI-Enabled Analytics: Design and implement AI-enabled analytics solutions using Snowflake Cortex, semantic models, and governed data access frameworks.
Governance & Responsible AI: Establish data governance, security, metadata, lineage, observability, and responsible AI standards across the platform.
Cloud Transformation: Lead data platform modernization, migration, and cloud transformation initiatives on AWS.
Architecture Standards: Define architecture standards, reusable frameworks, best practices, and DataOps delivery models.
Technical Leadership: Provide technical leadership across solution design, implementation, testing, migration, deployment, and production support activities.
Architecture Reviews: Conduct architecture reviews, identify risks and dependencies, and guide teams on mitigation strategies and best practices.
Performance & Cost Optimization: Drive platform performance optimization, reliability improvements, and cost optimization across AWS and Snowflake environments.
Collaboration & Delivery: Collaborate with data engineers, AI specialists, architects, platform teams, and client stakeholders to deliver enterprise-scale solutions.
Solutioning & Presales: Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops.
Mentoring & Capability Development: Mentor architects and engineers, contribute to capability development, technical assessments, and knowledge-sharing initiatives.
Reusable Accelerators: Develop reusable accelerators, reference architectures, implementation frameworks, and best practices for AWS Snowflake and AI solutions.

Required Technical Competencies

Experience: 14+ years in Enterprise Data Architecture, AWS Data Platforms, Snowflake, Data Engineering, and Cloud Modernization.
AWS & Snowflake Expertise: Proven experience in Enterprise Solution architecture using AWS, Snowflake, Cortex, and related technology components across the Data-to-Insights end-to-end value chain.
Hands-On Data Services: Strong hands-on expertise in AWS Data Services (S3, Glue, EMR, Redshift, Lambda), Snowflake, Snowflake Cortex, Snowflake Horizon Catalog, Apache Iceberg / Snowflake Open Catalog, Python, PySpark, and SQL.
Lakehouse Architecture: Proven experience designing and implementing Lakehouse Architectures, enterprise data platforms, and modern analytics solutions on AWS.
Snowflake Data Cloud: Strong understanding of Snowflake Data Cloud including Snowflake SQL, Workflows, Snowpipe, Snowflake Model Registry, Snowflake Horizon Catalog, Serverless Compute, and Performance Optimization.
AI-Enabled Analytics: Experience building AI-enabled analytics solutions using Snowflake Cortex, semantic models, natural language analytics, and governed data access frameworks.
Data Engineering: Expertise in ETL/ELT, batch and streaming integration, APIs, orchestration, data quality, metadata management, lineage, observability, and DataOps practices.
Enterprise Data Architecture: Strong knowledge of data models, data products, lakehouse and warehouse patterns, semantic layers, and master/reference data management.
Security & Compliance: Experience implementing IAM/RBAC, encryption, privacy, masking, auditability, retention, and responsible AI practices.
Architecture Leadership: Proven experience leading architecture definition, HLD/LLD preparation, NFR assessment, migration planning, technical governance, and production readiness activities.
Cloud Transformation: Experience supporting cloud transformation initiatives, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.
BFSI Domain: Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.
Education & Certifications: Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or related discipline; preferred certifications in AWS Solutions Architecture, Snowflake, Data Engineering, Enterprise Architecture, Security, or AI/ML.

Apply About employer

More about this job

Responsibilities

Define end-to-end architecture for AWS and Snowflake data, analytics, and AI platforms, including secure Lakehouse solutions, integrations, governance, and responsible AI standards. Lead modernization and migration initiatives, provide technical leadership and architecture reviews, optimize performance and cost, and support client solutioning and team development.

Requirements

Requires 14+ years of experience in enterprise data architecture, AWS data platforms, Snowflake, data engineering, and cloud modernization, with hands-on expertise in AWS services, Snowflake Cortex, Apache Iceberg, Python, PySpark, and SQL. A bachelor’s degree in a related discipline is required or specified, with AWS, Snowflake, data engineering, enterprise architecture, security, or AI/ML certifications preferred; BFSI regulatory knowledge is also desired.

Skills

Enterprise Data Architecture
AWS
Snowflake
Snowflake Cortex
Apache Iceberg
Lakehouse Architecture
Data Engineering
Python
PySpark
SQL
Data Governance
Data Security
AI-Enabled Analytics
DataOps
Cloud Modernization
BFSI

Visa sponsorship

Not detected in the job text

Keywords

AWS
Snowflake
Snowflake Cortex
Apache Iceberg
Snowflake Open Catalog
Snowflake Horizon Catalog
AWS S3
AWS Glue
Amazon EMR
Amazon Redshift
AWS Lambda
Python
PySpark
SQL
Lakehouse Architecture
Data Engineering
ETL/ELT
Batch Processing
Streaming Integration
Data Governance
DataOps
Semantic Models
Responsible AI
Data Security
Metadata Management
Data Lineage
Observability
Cloud Modernization
BFSI
IAM/RBAC

Report this job