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Sr Supervisor, Mill Engineering
Nutrien
Vanscoy, SK
- Full-time
Through the collective expertise of our nearly 26,000 employees, we operate a world-class network of production, distribution, and ag retail facilities. We efficiently serve growers' needs…
Added 3 mins ago
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Senior Full Stack Engineer (Rails & React)
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Vancouver, BC
- Full-time
Own aspects of release management, ensuring smooth deployments and stable production environments.
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Senior Principal Engineer
Autodesk
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- Full-time
GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience,…
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Red Seal UG Heavy Duty Mechanic
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BC · Kitimat-Stikine, British Columbia
- Full-time
…Improving Daily provides the foundation for our strategy to Lead in Gold and Grow in Copper and our purpose to Unearth Value Sustainably to Advance…
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8S
Technical Product Manager
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- Full-time
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Reporting to the Production Manager, the Production Supervisor is responsible for supervising daily production activities and ensuring manufacturing operations are performed safely,…
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UAT Lead, Payments
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Toronto, ON
- Full-time
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Workday Senior Certified Payroll Consultant
UST
ON · Ontario, Canada
- Full-time
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T&O Senior Data Analyst, Financial Data
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- Full-time
Lead requirements gathering sessions with Finance, Regulatory, Risk, and Technology stakeholders.
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CN
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Salesforce Data Cloud Developer
Themesoft Inc.
Toronto, ON
- Contract
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Added 18 mins ago
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Audio Visual Support Intern
TMX Group
Toronto, ON
- $20 to $23 CAD / hour
- Full-time
This role reports to: Technology Lead, AV Services
Added 18 mins ago
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Senior Metallurgist
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Thompson, MB
- Full-time
…compensation, support for wellbeing, and opportunities to learn, lead, and…
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- Full-time
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Added 18 mins ago
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DB2 Architect – Cloud Migration : Toronto, ON : Onsite : FTE
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…compensation, support for wellbeing, and opportunities to learn, lead, and…
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Manager Business Communications Partner (Temporary 6-months)
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Shop Lead
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Lead Social Producer
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Added 18 mins ago
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Character Concept Artist - (Apex Legends)
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- Full-time
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Added 18 mins ago
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Producer – Live Team (EA SPORTS NHL)
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K&K Global Talent Solutions INC.

Enterprise Data Architect – Snowflake & Cortex

ON, Canada
Ontario, Canada, Canada

Full-time

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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.

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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

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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

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