Jobs in Canada

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Added 1 hour ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build, and maintain data infrastructure and data management frameworks, to enable the City’s business intelligence reports and dashboards
Added 3 hours ago
Sr. Solution Architect
Rogers Communications
Brampton, ON · Calgary, AB
We’re looking for a hands-on Senior Solution Architect to lead the design and deliver scalable, secure, and reusable data and AI solutions.
Added 5 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive enterprise application development experience, strong solution architecture and integration capabilities, and the ability to lead Agile development teams while delivering scalable…
Added 5 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive enterprise application development experience, strong solution architecture and integration capabilities, and the ability to lead Agile development teams while delivering scalable…
Added 5 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive enterprise application development experience, strong solution architecture and integration capabilities, and the ability to lead Agile development teams while delivering scalable…
Added 7 hours ago
IC
Cloud Infrastructure & DevSecOps Engineer
InfoTrack Canada
Toronto, ON
- $130,000 to $150,000 CAD / year
Re-architect and optimise our CI/CD pipelines so build and deployment times drop meaningfully - developer velocity is your scoreboard, not just uptime.
Added 7 hours ago
X
Lead Engineer - Laser Systems
Xanadu
Toronto, ON
- Full-time
The Lead Engineer will architect and build the ultra-stable, low-noise laser engines powering the world’s first fault-tolerant photonic quantum computers, acting as both a system architect…
Added 8 hours ago
ES
Senior Solution Architect
EPAM Systems
Toronto, ON
- Full-time
This role provides technical leadership for a leading retailer's Enterprise Product Data Transformation program. This foundational initiative is modernizing the end-to-end product data,…
Added 13 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build, and maintain data infrastructure and data management frameworks, to enable the City’s business intelligence reports and dashboards
Added 17 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive enterprise application development experience, strong solution architecture and integration capabilities, and the ability to lead Agile development teams while delivering scalable…
Added 17 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive enterprise application development experience, strong solution architecture and integration capabilities, and the ability to lead Agile development teams while delivering scalable…
Added 20 hours ago
K
Senior Manager - Senior AI Architect
KPMG
Montreal, QC
- Full-time
As a Senior AI Architect, you will play a key role in defining, assessing, and guiding large-scale technology, data, and AI architectures for our strategic clients. You will act as a…
Added 20 hours ago
ES
Solution Architect
EPAM Systems
Canada
- Full-time
At EPAM, you'll design transformative Salesforce architectures that power global enterprises. As a Solution Architect, you'll bridge business strategy and technical innovation, leading…
Added 22 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Architect, build, and maintain data infrastructure and data management frameworks, to enable the City’s business intelligence reports and dashboards
Added 23 hours ago
A
Architecte de solution WEB
Astek
Montreal, QC
- Full-time
Designing target architecture, integrations, data flows, and environments
Added 1 day ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 1 day ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…extensive enterprise application development experience, strong solution architecture and integration capabilities, and the ability to lead Agile development teams while delivering scalable…
Added 1 day ago
ES
Data Technology Consultant - Data & AI Modernization
EPAM Systems
Canada
- Full-time
Design Modern Cloud Architectures: Architect scalable, cloud-native Data & AI solutions (utilizing Databricks, Snowflake, and medallion architecture patterns) optimized for business outcomes
Added 1 day ago
MC
Level 2 3 Network Administrator & Projects Specialist (35949)
Myticas Consulting
Ottawa, ON
- Full-time
Current project work includes zero trust initiatives, data centre and server migrations, infrastructure modernization, Microsoft Intune deployments and broader cybersecurity initiatives.
Added 1 day ago
MC
Principal Banking Cloud Architect | Client Partner | Technology Consulting (35568)
Myticas Consulting
Toronto, ON
- Full-time
Principal Banking Cloud Architect | Client Partner | Technology Consulting
Added 1 day ago
MC
Product & Pricing Architect (35728)
Myticas Consulting
Toronto, ON
- Full-time
We are seeking an experienced Product & Pricing Architect to provide senior functional and solution leadership for the implementation of SaaS-based banking product and pricing solutions.
Added 1 day ago
MC
SAP Solution Architect – Integrated Toolchain (35774)
Myticas Consulting
Toronto, ON
- Contract
Myticas Consulting is seeking a senior SAP Solution Architect for an approved transformation project with a leading global systems integrator for our Toronto clinet. This is a HYBRID…
Added 1 day ago
MC
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
Own end-to-end solution design across application architecture, APIs, data flows, integrations, cloud infrastructure, security, observability, deployment, and production readiness.
Added 1 day ago
MC
SOLUTION ARCHITECT TECHNICAL ARCHITECT (35734)
Myticas Consulting
Toronto, ON
- Full-time
Primary Focus: Owns solution design for complex implementation areas and bridges business, banking domain, platform, engineering, integration, data, cloud, and client technology teams.
Added 1 day ago
RT
Data Architect
Reveille Technologies,Inc
Toronto, ON
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…

K&K Global Talent Solutions INC.

Principal Data Solutions Architect- AI/ML

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Experience: 14+ years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.
Posting language: English
Posted: Oct 9, 2026

Original job description

Position: Data & Analytics Solutions Architect- AI/ML

Location: Toronto, ON (Hybrid)

Employment Type: Full-Time

Experience Required: 14 + Years

Position Overview:

We are seeking an experienced Data & Analytics Solutions Architect to lead the design and implementation of modern enterprise data platforms, advanced analytics solutions, and AI-driven architectures. The ideal candidate will have extensive experience in architecting large-scale open-source data ecosystems, distributed data processing platforms, Data Lakehouse architectures, and AI/ML-enabled analytics solutions.

Key Responsibilities:

Engage with business and technology stakeholders to understand data strategy, platform requirements, architecture goals, and transformation priorities.
Design and define end-to-end architecture for enterprise open-source data platforms supporting batch, streaming, analytics, and AI workloads.
Lead modernization initiatives covering data lakes, lakehouse platforms, distributed processing frameworks, and enterprise data ecosystems.
Architect scalable, secure, highly available, and resilient data platforms using open-source technologies and industry best practices.
Design data ingestion, integration, streaming, storage, and consumption patterns using technologies such as Spark, Kafka, Flink, NiFi, and Trino.
Establish data governance, security, metadata, lineage, privacy, and observability standards across the platform landscape.
Evaluate and recommend open-source technologies based on business requirements, scalability, supportability, interoperability, and total cost of ownership.
Define architecture standards, reference architectures, reusable frameworks, CI/CD practices, and DataOps operating models.
Provide technical leadership across data modeling, data engineering, platform implementation, migration, testing, deployment, and production readiness activities.
Drive platform performance optimization, capacity planning, reliability engineering, and operational excellence initiatives.
Conduct architecture reviews, identify risks early, and guide delivery teams on mitigation strategies and best practices.
Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops for strategic opportunities.
Collaborate with engineering teams, platform vendors, open-source communities, and client stakeholders to deliver scalable and sustainable solutions.
Mentor architects and engineers, contribute to technical capability development, and establish reusable accelerators, playbooks, and best practices.
Support hiring, technical assessments, and knowledge-sharing initiatives across Data Engineering, Open-Source Platforms, and Modern Data Architecture.
Assess candidate use cases with business, technology, data, and risk stakeholders; recommend BI, rules, analytics, ML, or GenAI based on feasibility, risk, cost, and measurable business outcomes.
Integrate data, ML, and GenAI reference architectures covering data sources, feature pipelines, models or LLMs, vector stores, serving layers, consuming applications, and enterprise integration points.
Partner with platform and operations teams to productionize AI ML and LLM workloads on Kubernetes.

Required Skills:

14+ years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.
Proven experience in Enterprise Solution architecture using Open source technology stack across the Data to Insights end to end value chain.
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Proven experience in designing and implementing open-source data platform architectures, including component selection, integration, scalability, interoperability, and platform modernization.
Deep understanding of batch, streaming, and real-time data processing architectures, including performance tuning, workload optimization, and failure recovery.
Experience building modern Data Lakehouse architectures using Apache Iceberg, Hudi, Delta Lake, object storage, and open table formats.
Strong knowledge of event-driven architectures, CDC, APIs, schema management, and enterprise integration patterns.
Expertise in DataOps practices, including Airflow orchestration, CI/CD, automated testing, observability, metadata management, lineage, and platform operations.
Experience with PostgreSQL, Cassandra, MongoDB, OpenSearch, and enterprise analytics platforms, including data modeling, indexing, workload management, and availability design.
Strong understanding of security, governance, and compliance, including RBAC, identity management, encryption, privacy controls, auditability, metadata governance, and vulnerability management.
Proven ability to lead architecture definition, HLD/LLD creation, NFR assessment, migration planning, technical governance, and production readiness activities.
Experience supporting large-scale data platform modernization, cloud migration, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.
Good understanding of BFSI regulatory, security, resilience, privacy, and operational requirements.
Bachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Experience assessing business use cases and selecting the appropriate approach across BI/KPI reporting, rules, statistical methods, forecasting, machine learning, and GenAI, with clear baselines, acceptance criteria, and measurable business KPIs.
Understanding of AI/ML platform architecture supporting feature engineering, model training, batch and real-time inference, and integration of ML and GenAI workloads with enterprise open-source data platforms.
Understanding of MLOps and LLMOps capabilities, including experiment tracking, model registry, feature stores, pipeline orchestration, automated quality gates, and versioning of data, models, and prompts using tools such as MLflow and Kubeflow.
Exposure to AI observability and monitoring for data drift, model drift, LLM quality, tracing, latency, availability, alerting, and operational runbooks.

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More about this job

Responsibilities

Lead the architecture and modernization of enterprise open-source data platforms and lakehouse solutions supporting batch, streaming, analytics, and AI/ML workloads. Establish platform standards and governance, guide delivery and production readiness, optimize reliability and performance, and advise stakeholders on suitable analytics and AI approaches.

Requirements

Requires 14 or more years of experience in enterprise data architecture, open-source platforms, distributed processing, and data engineering, with strong expertise in technologies such as Spark, Kafka, Flink, Airflow, and lakehouse formats. A bachelor's degree in a related discipline is required, along with architecture leadership, platform modernization, security and governance knowledge, and familiarity with AI/ML, MLOps, and LLMOps.

Skills

Enterprise Data Architecture
Open-Source Data Platforms
Apache Spark
PySpark
Apache Kafka
Apache Flink
Apache Airflow
Apache NiFi
Trino
Data Lakehouse Architecture
Data Engineering
DataOps
AI/ML Architecture
MLOps and LLMOps
Kubernetes
Data Governance and Security

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Open-Source Data Platforms
Apache Spark
PySpark
Apache Kafka
Apache Flink
Apache Airflow
Apache NiFi
Trino
Python
Scala
Java
SQL
Data Lakehouse
Apache Iceberg
Apache Hudi
Delta Lake
DataOps
Kubernetes
MLOps
LLMOps
MLflow
Kubeflow
Data Governance
Data Security
Streaming Data Processing
Change Data Capture
BFSI
GenAI
Vector Stores

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