Jobs in Canada

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Added 29 days ago
IS
Java Full Stack Developer
Iris Software Inc.
Toronto, ON
- Contract
Strong hands-on expertise in Java and modern Java frameworks for building scalable and high-performance applications.
Added 29 days ago
A
Software Development Manager, Platform Engineering
Autodesk
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We’re looking for a seasoned, hands-on Software Engineering Manager to lead a high-performing full-stack engineering team supporting our horizontal services and core technology platforms.
Added 29 days ago
A
Software Development Manager, Platform Engineering
Autodesk
Montreal, QC
- Full-time
We’re looking for a seasoned, hands-on Software Engineering Manager to lead a high-performing full-stack engineering team supporting our horizontal services and core technology platforms.
Added 29 days ago
C
QA SDET – Spécialiste Automatisation & AI
CGI
Sherbrooke, QC
- Full-time
Selenium, Cypress, Playwright, Python, Java, C#, GitHub Copilot, CI/CD.
Added 29 days ago
TC
Forgerock Developer
Tata Consultancy Services
Montreal, QC
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 29 days ago
TI
Senior Full stack Developer
Themesoft Inc.
Toronto, ON
- Contract
1) Experience in Java based REST microservices
Added 1 month ago
N
Senior Software Developer - Networking (Flow)
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
…in enterprise cloud, is looking for an outstanding Software Developer to join our Software Defined Security product team, Nutanix…
Added 1 month ago
T
Channels Architect
TD
Toronto, ON
- Full-time
Mandate: Define and steward the full stack architecture across GTB's client experience and connectivity layers - ensuring every surface is composable, every integration is reliable, and…
Added 1 month ago
FV
Full-stack Developer
Fred Victor
Toronto, ON
- Full-time
We are seeking a skilled, proactive, and versatile Full Stack Application Developer to take ownership of our technical application portfolio.
Added 1 month ago
ES
Senior Full-Stack Java Developer
EPAM Systems
Canada
- Full-time
Join EPAM's engineering team as a Senior Full-Stack Java Developer and take ownership of maintaining and modernizing a portfolio of enterprise-grade Gateway applications. You'll work in a…
Added 1 month ago
C
Full Stack Developer (Java + Angular)
CGI
Halifax, NS
- Full-time
This is a permanent, full-time position requiring partners to work 5 days per week from the office
Added 1 month ago
B
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 1 month ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
We are looking for a Full Stack Engineer who can design and deliver scalable, enterprise-grade solutions while building AI capabilities directly into our platforms.
Added 1 month ago
B
Development Manager
BMO
Toronto, ON · FCP
- Full-time
Proficiency in either front-end technologies (e.g., TypeScript, React) or back-end technologies (e.g., Java, PostgreSQL, AWS) is required; experience in both is a plus.
Added 1 month ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
Must have a minimum of 8+ years of experience as JAVA FSD · Must have exposure to Design, develop, and maintain high-quality Java applications using Spring Boot, Gradle
Added 1 month ago
W
Software Development Engineer Intern
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…real-world solutions and experience what it's like to be a developer at Workday. You'll work closely with a team of experienced engineers and product managers to grow your technical skills…
Added 1 month ago
N
Senior Software Developer - Networking (Flow)
Nutanix
Vancouver, BC
- $171,000 to $257,000 CAD / year
- Full-time
…in enterprise cloud, is looking for an outstanding Software Developer to join our Software Defined Security product team, Nutanix…
Added 1 month ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Proven experience in Enterprise Solution architecture using Open source technology stack across the Data to Insights end to end value chain.
Added 1 month ago
O
Analyste-programmeur(se) full stack
Onepoint
Montreal, QC · Quebec, QC
- Full-time
La ressource agira à titre d’analyste-programmeur full stack senior au sein de l’équipe des services TI préhospitaliers. Elle participera à l’analyse technique, à la conception, au…
Added 1 month ago
W
Analyste-programmeur(se) full stack
Wepoint
Montreal, QC · Quebec, QC
- Full-time
La ressource agira à titre d’analyste-programmeur full stack senior au sein de l’équipe des services TI préhospitaliers. Elle participera à l’analyse technique, à la conception, au…
Added 1 month ago
C
Solution Architect
CARFAX
London, ON
- $114,000 to $164,000 CAD / year
- Full-time
This position will require 2 days per week in our London,ON office subject to change with future business needs
Added 1 month ago
C
Associate Software Engineer
CARFAX
London, ON
- $64,000 to $96,000 CAD / year
- Full-time
This position will require 2 days per week in our London,ON office subject to change with future business needs
Added 1 month ago
C
Software Engineer
CARFAX
London, ON
- $78,000 to $116,000 CAD / year
- Full-time
This position will require 2 days per week in our London,ON office subject to change with future business needs
Added 1 month ago
C
Senior Software Engineer
CARFAX
London, ON
- $93,000 to $139,000 CAD / year
- Full-time
This position will require 2 days per week in our London,ON office subject to change with future business needs
Added 1 month ago
T
Full Stack Engineer
TEEMA
Toronto, ON
- $70 to $75 CAD / hour
- Contract
We are looking for a Senior Full Stack Developer to join a collaborative Agile technology team building and enhancing cloud-native applications.

K&K Global Talent Solutions INC.

Principal Data Solutions Architect- AI/ML

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
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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Jobs in Canada