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Added 6 mins ago
KG
AI Architect
K&K Global Talent Solutions INC.
Toronto, ON
- $150,000 to $160,000 CAD / year
- Full-time
Design and govern AI platforms and solutions across foundation models, RAG, agent orchestration, data sources, vector search, APIs, cloud infrastructure, security controls, and…
Added 6 mins ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Required: Azure Solutions Architect Expert or GCP Professional Cloud Architect.
Added 8 mins ago
N
AI Principal Architect
Nasdaq
St. John's, NL
- Full-time
…shapes how the world's markets operate. As an AI Principal Architect, you'll provide strategic technical leadership across enterprise architecture, intelligent automation, and AI-enabled…
Added 39 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
We value your ability to architect, integrate, and scale customer engagement solutions more than expertise in any one platform.
Added 39 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
Related IT certifications are an asset. AWS Certified DevOps Engineer, AWS Solutions Architect or equivalent is preferred.
Added 1 hour ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
Related IT certifications are an asset. AWS Certified DevOps Engineer, AWS Solutions Architect or equivalent is preferred.
Added 1 hour ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
We value your ability to architect, integrate, and scale customer engagement solutions more than expertise in any one platform.
Added 1 hour ago
B
Systems Administrator III
BonLook
New Westminster, BC · Delta, BC
- Full-time
Advanced certifications such as Certified Information Systems Security Professional (CISSP), cloud-specific certifications (e.g., AWS Certified Solutions Architect) are considered an asset
Added 2 hours ago
A
AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale AI, Generative AI, Machine Learning, RAG, and Agentic AI solutions. The…
Added 2 hours ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
Architect scalable AI platforms and reusable components for enterprise AI applications.
Added 2 hours ago
V
Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
Proven ability to architect systems, make sound technical decisions, and implement best practices.
Added 2 hours ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Advanced RAG & Search: Architect Retrieval-Augmented Generation (RAG) pipelines and enterprise search indexing using Vertex AI Search and Vector Databases.
Added 2 hours ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
The AI Solution Architect is a senior individual contributor within the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture for…
Added 2 hours ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
…problems, analyze real-world data, rapidly build AI-powered solutions, and deploy reliable, production-ready applications that deliver measurable business…
Added 3 hours ago
KG
Data & Analytics Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Data & Analytics Solutions Architect- AI/ML
Added 3 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Architect scalable, secure, highly available, and resilient data platforms using open-source technologies and industry best practices.
Added 3 hours ago
AC
Senior System Architect
Amphenol Communications Solutions
Markham, ON
- Full-time
The Senior System Architect is the senior technical authority responsible for the architecture, governance, integration, security, resilience, and lifecycle management of the company’s…
Added 3 hours ago
M
Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Architect and build scalable cloud-native solutions on Microsoft Azure, leveraging services such as AKS, App Service, Azure SQL, and Service Bus.
Added 3 hours ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect data ingestion, integration, batch, streaming, and data engineering solutions supporting enterprise analytics and AI use cases.
Added 3 hours ago
Duck Creek Developer
Capgemini
Toronto, ON
Develop and configure Duck Creek Policy, Billing, and Claims solutions.
Added 4 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data & Analytics Solutions Architect
Added 4 hours ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Architect scalable, secure, highly available, and resilient data platforms using open-source technologies and industry best practices.
Added 4 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Added 4 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Added 4 hours ago
FI
Senior Simulation Scientist
Fulfillment IQ
Toronto, ON
- $115,000 to $145,000 CAD / year
- Full-time
Workbench is FIQ's warehouse-design platform: it lets a solutions engineer draw a warehouse the way an architect draws a building. You will design, build and own Workbench's warehouse…

Zodiac Solutions, Inc

Data & Analytics Solutions Architect

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

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.

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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

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