Find work in Canada.

343,450 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 min ago
L
Senior Director, Environmental, Health & Safety
Lumentum
Ottawa, ON · Canada - Ottawa (Bill Leathem)
- Full-time
Demonstrated experience developing and implementing global EHS policies, standards, management systems, and governance processes.
Added 1 min ago
AU
Maintenance Technician (Fifth Class Power Engineer)
Alsco Uniforms
Surrey, BC · Vancouver, BC
- Full-time
…and cutting, hydraulics, pneumatics, mechanical, and other systems. This position reports to the Chief Engineer. Start rate…
Added 1 min ago
E
Warehouse Associate
EECOL
Estevan, SK
- Full-time
EECOL is an affiliated company of Wesco International. Future correspondence, documentation and systems may reference the Wesco name.
Added 1 min ago
Business Development, Power Automation (Ovation)
Spartan Controls Ltd.
Edmonton, AB · Calgary, AB
…projects in power generation, utilities, Battery Energy Storage Systems (BESS), microgrids, utility infrastructure, and data center power systems. The successful candidate will report to…
Added 1 min ago
Senior Supply Chain Advisor
NorQuest College
Edmonton, AB
Work with IT to maintain and optimize ERP systems (PeopleSoft, Symfact, Bids & Tenders)
Added 1 min ago
Manager, Customer Care - E-Customer Experience & Social Media
Scotiabank
Toronto, ON
…client relationships and leverage broader Bank relationships, systems, and…
Added 1 min ago
F/
Manager, Credit Portfolio Management
FCC / FAC
Regina, SK · Calgary, AB · Ottawa, ON · FCC Tower
- Full-time
Extensive knowledge of loan portfolio management reporting and analysis techniques, loan and lease products and policies, and reporting systems
Added 1 min ago
F/
Senior Data Developer
FCC / FAC
Calgary, AB
- Full-time
…integrations and data products that move information from source systems through the raw vault, business vault and reporting layers, ensuring trusted data is available where it's needed…
Added 1 min ago
Manufacturing Technician - Test
INNIO
Welland, ON
Log engines into the de-rig operation using Morphee and MES systems.
Added 1 min ago
HB
Compliance Analyst
HomeEquity Bank
Toronto, ON
- Full-time
…review and challenge on domain assessments, levering compliance systems to record evidence and…
Added 1 min ago
MI
Specialist, Payroll
Magna International
Aurora, ON
- Full-time
Coordinate with HR to ensure employee data is consistent across systems.
Added 1 min ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
…platform, including the modernization of legacy enterprise systems into modern, cloud-capable solutions. You'll operate with significant autonomy, act as a force multiplier for the rest of…
Added 1 min ago
Tunnelling and Trenchless Delivery Lead, Vancouver EOI
Hatch
Vancouver, BC
Added 1 min ago
Tunnelling and Trenchless Delivery Lead, Calgary, EOI
Hatch
Calgary, AB
Added 1 min ago
C
Maintenance Manager
Chartwell
North Vancouver, BC
- Full-time
Plan and implement preventative maintenance to ensure all systems and facilities are well-maintained
Added 1 min ago
Medical Billing Supervisor
Winnipeg Regional Health Authority
Winkler, MB
Seek out ways to improve billing services through training, education, and use of technology and EMR systems.
Added 1 min ago
Innovation Manager
BWXT
Peterborough, ON
…development, and delivery of safety and non-safety related systems and equipment used for the remote control of fuel handling systems, specialized tooling and process plant systems in the…
Added 1 min ago
M
Business / Functional BI Analyst
Maarut
Montréal-Est, QC · Montreal, Quebec
- Contract
The data mart integrates several legacy systems and the new group insurance
Added 1 min ago
M
RQ11611 - Business Analyst - Senior
Maarut
Toronto, ON
- Contract
OPS Standard Systems Development Methodologies
Added 1 min ago
M
Data Valuation Analyst
Maarut
Montreal, QC
- Contract
data from several wealth management systems and the new group insurance system
Added 1 min ago
M
RQ11517 - Privacy Impact Assessment (PIA) Specialist - Senior
Maarut
Toronto, ON
- Contract
Added 16 mins ago
L
Financial Service Representative - LendDirect Office 1556
LendDirect
Calgary, AB
- Full-time
Adaptability: Willingness to learn new systems and processes in a dynamic environment.
Added 16 mins ago
Global Manager, Mechanical Design Manufacturing Solutions
ATS Automation
Cambridge, ON
Added 16 mins ago
MC
Member Services Representative - Part Time
Meridian Credit Union
Woodstock, ON
- $45,000 to $49,900 CAD / year
- Part-time
Added 16 mins ago
B
Systems Administrator III
BonLook
New Westminster, BC · Delta, BC
- Full-time
…oversee the timely and budget-conscious deployment of enterprise systems and software platforms. Maintain a high system uptime rate through proactive maintenance and effective incident…

K&K Global Talent Solutions INC.

Data & Analytics Solutions Architect- AI/ML

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

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.

Apply About employer

More about this job

Responsibilities

Lead the architecture and modernization of scalable enterprise data platforms supporting batch, streaming, analytics, and AI/ML workloads, including lakehouse, governance, security, and operational capabilities. Provide technical leadership across solution design, delivery, production readiness, client engagements, and the development of teams and reusable architecture practices.

Requirements

Requires 14 or more years of enterprise data architecture, open-source data platforms, distributed processing, and data engineering experience, with strong expertise in technologies such as Spark, Kafka, Flink, Airflow, and lakehouse formats. Candidates should also have experience with AI/ML and GenAI platform architectures, governance and security, platform modernization, and client-facing architecture work; a bachelor’s degree in a relevant discipline is specified.

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
Python

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Open-Source Data Platforms
Distributed Data Processing
Data Engineering
Apache Spark
PySpark
Apache Kafka
Apache Flink
Apache Airflow
Apache NiFi
Trino
Apache Iceberg
Apache Hudi
Delta Lake
Data Lakehouse
DataOps
Kubernetes
AI/ML
GenAI
MLOps
LLMOps
MLflow
Kubeflow
PostgreSQL
Cassandra
MongoDB
OpenSearch
BFSI
Data Governance
CI/CD

Report this job