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Added 24 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Leverage PySpark and Python for data processing and analysis.
Added 25 mins ago
EI
Test Specialist - CDU
Ecolab Inc.
Calgary, AB
- Full-time
You will also lead root cause analysis, drive corrective actions for design and manufacturing issues, and support continuous improvement initiatives. Hands-on work with instrumentation,…
Added 39 mins ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 1 hour ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an…
Added 1 hour ago
C
AI Lead Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Toronto, ON · Ottawa, ON · Montreal, QC
- Full-time
The Software and Platform Architecture Team is looking for a creative, highly skilled and talented AI Lead Architect with deep Subject Matter Expertise in AI governance and implementation…
Added 1 hour ago
SE
Manager, DtC (Retail/Ecomm) Data Analytics
Samsung Electronics
Mississauga, ON
- Full-time
Develop tracking tools for Partner KPIs (e.g., Transaction Processing, Shipping Lead Time, Fraud Rejections, Return Lead Time) and provide actionable insights.
Added 2 hours ago
HT
Industrial Software Validation
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 2 hours ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
Build robust microservices and APIs using Java, Node.js, or Python
Added 2 hours ago
B
Fixed Income Trading Analyst
BMO
Toronto, ON · FCP
- Full-time
Lead various workstreams associated with BMO’s program to build, consolidate and improve fixed income trading platforms
Added 2 hours ago
GD
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 2 hours ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 3 hours ago
V
Lead Software Engineer
Virtusa
Halifax, NS
- Full-time
 Strong experience in Python Scripting and PySpark for data processing
Added 3 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Experience with scripting languages such as Python, Java, or JavaScript.
Added 3 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Experience with scripting languages such as Python, Java, or JavaScript.
Added 3 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Job Summary: We are seeking a skilled Cloud Developer with a strong focus on architecture to join our team. The ideal candidate will have extensive experience in designing and implementing…
Added 3 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
We are looking for a Full Stack Developer with experience building modern web applications and GenAI solutions. The ideal candidate is strong in Python, FastAPI, React, and TypeScript, with…
Added 3 hours ago
OI
Senior Software Engineer
Oryn, Inc.
Mississauga, ON
- Full-time
Experience with modern programming languages (e.g., Python, Java, C++, or similar) and development tools.
Added 3 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
5+ years of hands on experience in building an enterprise scale highly componentized application using Python
Added 3 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
5+ years of hands on experience in building an enterprise scale highly componentized application using Python
Added 3 hours ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
5+ years of hands on experience in building an enterprise scale highly componentized application using Python
Added 4 hours ago
V
AI Solution Lead
Virtusa
Toronto, ON
- Full-time
…architectures.Proficiency in programming languages such as Python, Java, or similar.Preferred Skills:Experience with cloud-based AI services (AWS, Azure, GCP).Familiarity with natural…
Added 4 hours ago
V
Python Gen AI developer
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 4 hours ago
V
Python Gen AI
Virtusa
Mississauga, ON
- Full-time
We are seeking a highly skilled and experienced Lead Software Engineer to join our team. In this role, you will lead the design and development of scalable, API-driven solutions leveraging…
Added 4 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Experience with scripting languages such as Python, Java, or JavaScript.
Added 4 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…the various components. The tester will work with the testing lead and IT lead of each project as well as the project team members in the analysis, design, development, implementation and…

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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