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Added 17 mins ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
We are seeking a highly skilled Senior Data Scientist to join our Western Excellence Center AI and Transformation Delivery team. This role offers an exciting opportunity to lead the…
Added 46 mins ago
C
Senior Technical Project Manager
CGI
Vancouver, BC
- Full-time
We are seeking a Sr Project Manager to lead complex digital initiatives in a large enterprise environment. This is a senior role focused on driving delivery across multiple workstreams,…
Added 46 mins ago
ES
Senior Business Analyst
EPAM Systems
Toronto, ON
- Full-time
…landscape, offering comprehensive solutions that drive business transformation and sustainable…
Added 1 hour ago
AC
Consultant Fonctionnel Principal Oracle ARCS
Aston Carter
Montreal, QC
- $80 to $95 CAD / hour
- Contract
…Cloud Service (ARCS) pour soutenir une importante initiative de transformation financière. Vous jouerez un rôle de leadership clé dans une implantation ARCS en environnement de type…
Added 1 hour ago
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Data Excellence Manager
Takeda
Toronto, ON · CAN - Toronto Head Office
- Full-time
Lead data stewardship, governance, and documentation. Perform hands-on stewardship activities: data owner/steward touchpoints, dataset reviews, and issue triage. Lead Master Data Management…
Added 1 hour ago
T
CXF Manager
Takeda
Toronto, ON · CAN - Toronto Head Office
- Full-time
…related customer engagement platforms within the LOC. You will lead the local transition to the Customer Experience of the Future (CXF) platform, ensuring a stable, compliant, and…
Added 1 hour ago
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Digital CX Lead
Takeda
Toronto, ON · CAN - Toronto Head Office
- Full-time
As the Digital CX Lead, you will be responsible for enabling the successful adoption, utilization, and value realization of customer engagement and content capabilities within the Canada…
Added 1 hour ago
T
Data Products Manager
Takeda
Toronto, ON · CAN - Toronto Head Office
- Full-time
Lead hands-on requirements discovery and business analysis (solution-agnostic). Partner with local functions to investigate and frame the underlying business problem before a solution is…
Added 4 hours ago
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Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON
- Full-time
…our clients. You will architect deeply technical solutions, lead cross-functional engineering pods, and convert client ambiguity into shipped capabilities. You will simultaneously drive…
Added 4 hours ago
P
Technology Strategy & Transformation, Manager
PwC
Calgary, AB
- Full-time
Lead technology strategy and transformation programmes, with a focus on infrastructure, AI, data, and digital technologies across a variety of industries.
Added 4 hours ago
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Manager -Financial Crime and AML
PwC
Toronto, ON · Montreal, QC
- Full-time
Lead and support Financial Crime advisory engagements from planning through delivery, including managing scope, timelines, budgets, risks and deliverable quality
Added 4 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 6 hours ago
M
People Services AI Solutions & Configuration Lead
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Empowering People Through Technology: Join Manulife’s Global HR Transformation
Added 6 hours ago
M
Senior Solution Architect
Manulife
Toronto, ON
- Full-time
Lead technology innovation and digital transformation solutions to deliver measurable business outcomes.
Added 7 hours ago
D
Director- M&A Human Capital Due Diligence & Value Creation
Deloitte
Toronto, ON
- Full-time
As a Director within Deloitte’s Deal Transformation & Post Merger Integration (DT&PMI) Human Resources Due Diligence (HRDD) practice, you will play a leadership role in advising private…
Added 8 hours ago
Project Engineering Manager - Brossard
Schneider Electric
Brossard, QC
…technical requirements and challenges. In this role, you will lead a multidisciplinary engineering organization of 3 supervisors and approximately 33 project engineers. Together, you will…
Added 9 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 9 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Program Leadership: Demonstrated ability to lead payments modernization, transformation, operating model, or platform rationalization programs.1
Added 9 hours ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
Lead AI opportunity qualification, discovery, value articulation, and deal-shaping activities.
Added 9 hours ago
ZG
General Manager / Head of Vision Care Canada
ZEISS Group
Toronto, ON
- Full-time
Build and lead the local leadership team; developing capabilities and capacity to support the immediate and future business. Set goals for leadership team and enable delivery.
Added 9 hours ago
O
Director, Value Creation Private Markets
OPTrust
Toronto, ON
- Full-time
The Director, Value Creation will lead the modernization of Private Markets investment workflows and drive AI-enabled value creation across the portfolio. This role combines expertise in…
Added 9 hours ago
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Senior Technology Manager, Loan Servicing Technology
BMO
Toronto, ON · FCP
- Full-time
We are seeking a Senior Technology Manager to lead the Loan Servicing Technology portfolio supporting critical lending platforms and services within Commercial and Corporate Banking.
Added 9 hours ago
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Senior Technology Manager
BMO
Toronto, ON · FCP
- Full-time
…leadership role in advancing our technology modernization and cloud transformation agenda. This position is instrumental in driving scalable, resilient, and cost-efficient platform…
Added 9 hours ago
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SENIOR BUSINESS ADVISOR, AI
BDC
Montreal, QC
- Full-time
Lead diagnostic engagements assessing data maturity, operational processes, and organizational readiness for AI adoption.
Added 10 hours ago
Senior Manager, Document Management Platforms (COR.TRANSFORM)
Symcor
Mississauga, ON
Lead and contribute to pre-sales activities, internal changes and new client on-boarding to ensure platforms and services can meet the required business needs and client demands, including…

Closed listing

K&K Global Talent Solutions INC.

Data & Analytics Solutions Architect- AI/ML

Toronto, ON, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Job type: Full-time
Closing date: 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

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Original job description

Archived listing. The details below describe a past opening.

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.

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

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