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Added 1 hour ago
S
DCN Electrical Engineer
SLB
Calgary, AB
- Full-time
The role of Electrical Engineer is to support the Engineering Lead. They will be accountable for the electrical scope and systems in large scale data centers across the design,…
Added 1 hour ago
S
DCN Mechanical Engineer
SLB
Calgary, AB
- Full-time
The role of Mechanical Equipment / Piping Engineer is to support the Engineering Lead. They will be accountable for the mechanical and piping scope and systems in large scale data centers…
Added 1 hour ago
R
Product Design Lead, Design Systems
Raydar
Remote, Canada
- Full-time
- Remote
As Product Design Lead, Design Systems, you will shape the patterns and design language used across the entire platform. This is a hands-on Staff/Principal-level individual contributor role…
Added 1 hour ago
Instrumentation Superintendent - Future Opportunities
Aecon
Saskatoon, SK · Calgary, AB · MB
Integrity. We lead by example, with humility and courage.
Added 1 hour ago
C
Principal Machine Learning Developer
Cisco
AB · Calgary, Alberta
- Full-time
As a Principal Machine Learning Engineer Developer you will define how AI, LLMs, and autonomous operations transform network and security management across Cisco’s wireless, wired, cloud,…
Added 2 hours ago
T
Brand Partnerships ·
thepoast
Perth, ON
- Full-time
As an early-stage company with real traction, we're looking for a Brand Partnerships Lead to help grow our advertising business by identifying prospective advertisers, developing…
Added 2 hours ago
P
AI Solutions Engineer - Intellectual Property
Patsnap
Toronto, ON
- $80,000 to $95,000 CAD / year
- Full-time
Lead technical discovery with enterprise customers, understanding patent, IP and innovation workflows and translating pain points into practical AI solutions.
Added 2 hours ago
S
Full Time Baker - Admirals Thrifty Foods
Sobeys
Victoria, BC
- Full-time
Lead, train, and support bakery team members to deliver outstanding customer service and maintain a positive, engaging work environment.
Added 2 hours ago
B&
Staff Electrical Engineer - Transmission & Distribution (Toronto)
Burns & McDonnell
Toronto, ON
- Full-time
Works with the project lead to support the project schedule and meet deadlines.
Added 2 hours ago
C
Business Development Representative (BDR)
ChainPatrol
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 3 hours ago
M
Enterprise Account Executive - Full-time LOA backfill
Microsoft
Toronto, ON
- Full-time
…the problem until it is solved. This is a team sport. You’ll lead a large, cross-functional account team, build relationships from the C-suite through to business and technology leaders,…
Added 3 hours ago
Quality Control Coordinator - AOTHR
Aecon
Kawartha Lakes, ON · Barrie, ON · Toronto, ON
Integrity. We lead by example, with humility and courage.
Added 3 hours ago
ES
Lead Software Engineer, Applied AI (Frontend Leading)
EPAM Systems
Canada
- Full-time
…intelligent internal platforms that power our global workforce. As a Lead Software Engineer, Applied AI (Frontend Leading), you will build intuitive, performant user interfaces and frontend…
Added 3 hours ago
HR
RAM Specialist, Senior
Hitachi Rail
Toronto, ON
- Full-time
…activities for CBTC systems. He/she will also be assigned as RAM Lead for a project with the support from other RAM team…
Added 3 hours ago
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Mechanical Associate (Project Engineer)
BPA
Toronto, ON
- Full-time
Lead the project team and coordinate the efforts of various internal and external stakeholders to carry out mechanical building systems projects focused on Tenant Interiors Fit-up within…
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HR
Technical Safety Specialist
Hitachi Rail
Burnaby, BC
- Full-time
Ability to lead and coordinate technical staff
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B
Senior Mechanical Building Engineer
BPA
Ottawa, ON
- Full-time
Lead the project team and coordinate the efforts of various internal and external stakeholders to carry out mechanical building systems projects for multiple sectors (institutional, office,…
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TP
Chief Executive Officer
Toronto Playgrounds Baseball Association
Toronto, ON
- Full-time
high energy, responsible person to lead our organization.
Added 3 hours ago
C
Analyst, Corporate Strategy-EN
CAE
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
…essential. Our enterprise functions don’t just support; they lead, playing a critical role in shaping the company’s path forward and ensuring both clients and employees are ready for the…
Added 3 hours ago
RT
Information Technology Product Manager
Rang Technologies Inc
Toronto, ON
- $95 to $100 CAD / hour
- Contract
Lead application design efforts with a focus on usability and operational simplicity.
Added 3 hours ago
M
Information Technology Product Manager
Mindlance
Toronto, ON
- $80 to $85 CAD / hour
- Contract
Lead application design efforts with a focus on usability and operational simplicity.
Added 3 hours ago
HR
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Hitachi Rail
Toronto, ON
- Full-time
Lead technical discussions and present solutions to both internal and external stakeholders.
Added 3 hours ago
HR
CBTCS Engineering Service Delivery Analyst(Fixed Term)
Hitachi Rail
Toronto, ON
- $69,128 to $103,692 CAD / year
- Full-time
…line with business needs and agreed SLAs, with clear focus on lead time, time to first response, and time to…
Added 3 hours ago
SP
Customer Success Manager
Salesforce Partner Canada
Toronto, ON
- Full-time
Forge strong multidisciplinary relationships with Sales, Engineering, and Product Management to lead and coordinate customer relationships for success and revenue opportunities.
Added 3 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.

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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