Find work in Canada.

345,267 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 41 mins ago
JG
FORWARD DEPLOYEMENT ENGINEER
J&M Group
Canada
- Full-time
Experience implementing and operationalizing MLOps / LLMOps capabilities including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and…
Added 41 mins ago
JG
AI Developer
J&M Group
Canada
- Full-time
Expertise in implementing MLOps and LLMOps practices, including model lifecycle management, CI/CD pipelines, performance monitoring, and rollback mechanisms.
Added 41 mins ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Added 57 mins ago
O
Développeur(se) solutions analytiques intermédiaire
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Assurer la qualité, la performance et la stabilité des solutions développées à l’aide de tests automatisés et de pratiques DevOps/MLOps;
Added 57 mins ago
W
Développeur(se) solutions analytiques intermédiaire
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Assurer la qualité, la performance et la stabilité des solutions développées à l’aide de tests automatisés et de pratiques DevOps/MLOps;
Added 1 hour ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON · Montreal, QC · ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 1 hour ago
A
Senior Product Manager, Data Platform
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer tooling
Added 1 hour ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 1 hour ago
A
Senior Product Manager, Data Platform
Autodesk
Toronto, ON
- Full-time
4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer tooling
Added 1 hour ago
A
Senior Product Manager, Data Platform
Autodesk
Toronto, ON
- Full-time
4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer tooling
Added 2 hours ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 2 hours ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 2 hours ago
S
Artificial Intelligence Consultant
SMARTFOX
Canada
- Full-time
Cloud experience on Azure, AWS, or GCP, and familiarity with MLOps and deployment practices
Added 3 hours ago
A
Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
Familiarity with MLOps practices and model monitoring frameworks.
Added 3 hours ago
JI
Senior Data Scientist
J.D. Irving, Limited
Saint John, NB
- Full-time
Experience with cloud-based AI platforms, MLOps, Generative AI, LLMs, Agentic AI, Azure AI services, or enterprise-scale AI architecture is strongly preferred.
Added 3 hours ago
B
Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
Added 4 hours ago
IG
Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 5 hours ago
Data Scientist
Upshop
Mississauga, ON
Databricks-Native MLOps: Build, schedule, and maintain automated training and batch inference pipelines using Databricks Workflows and Jobs. Leverage MLflow for robust experiment tracking,…
Added 5 hours ago
T
Machine Learning Engineer
TEEMA
Toronto, ON
- $115,000 to $120,000 CAD / year
- Full-time
MLOps Developer / DevOps Infrastructure Engineer
Added 5 hours ago
T
Artificial Intelligence Researcher
TEEMA
Toronto, ON
- $150,000 to $170,000 CAD / year
- Contract
Work closely with development and MLOps teams to move research into production
Added 6 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 6 hours ago
A
AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
Define MLOps/LLMOps practices, including deployment pipelines, model and prompt versioning, observability, monitoring, drift detection, rollback strategies, and production readiness.
Added 7 hours ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
MLOps & Observability: Implement CI/CD for model updates and set up AI observability/eval frameworks (eg. RAGAS, Vertex Eval) to detect and prevent hallucinations.
Added 7 hours ago
CS
GEN AI Specialist
Cynet Systems
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Added 7 hours ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer – AI, Data Engineering & MLOps

Zodiac Solutions, Inc

Data & Analytics Solutions Architect

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

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

Job Title: Data & Analytics Solutions Architect

Location: Toronto, Hybrid

Job Type: Full-Time Permanent

Must Have Skills - Open Source and MDM (IBM, Informatica), Power BI

Skills Required:

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.

Roles and 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.

Apply About employer

More about this job

Responsibilities

Design and lead secure, scalable enterprise data platform architectures for batch, streaming, analytics, and AI workloads, including platform modernization and migration. Establish architecture and governance standards, guide delivery and operations teams, and support solutioning, client discussions, mentoring, and productionization of AI and data platforms.

Requirements

Requires 14 or more years of experience in enterprise data architecture, open-source data platforms, distributed processing, and data engineering, with hands-on expertise across the listed data technologies and programming languages. A bachelor’s degree in a related discipline is required; cloud, Kubernetes, architecture, data management, security, DevOps, or open-source platform certifications are preferred.

Skills

Enterprise Data Architecture
Open-Source Data Platforms
Apache Spark
PySpark
Kafka
Flink
Airflow
NiFi
Trino
SQL
Python
Scala
Java
Data Lakehouse Architecture
Data Governance
Power BI

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Open-Source Data Platforms
Master Data Management
IBM
Informatica
Power BI
Apache Spark
PySpark
Kafka
Flink
Airflow
NiFi
Trino
Apache Iceberg
Hudi
Delta Lake
Data Lakehouse
DataOps
PostgreSQL
Cassandra
MongoDB
OpenSearch
Kubernetes
MLflow
Kubeflow
MLOps
LLMOps
GenAI
Data Governance
BFSI

Report this job