Find work in Canada.

347,314 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 7 mins ago
V
Lead Software Engineer
Virtusa
Mississauga, ON
- Full-time
Added 7 mins ago
V
Architect
Virtusa
Toronto, ON
- Full-time
Collaborate with architects, business analysts, QA teams, and DevOps engineers to ensure successful project delivery.
Added 7 mins ago
V
Architect
Virtusa
Toronto, ON
- Full-time
Collaborate with architects business analysts QA teams and DevOps engineers to ensure successful project delivery
Added 7 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 7 mins ago
V
Architect
Virtusa
Toronto, ON
- Full-time
Familiarity with DevOps practices and CI/CD pipelines.
Added 7 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Knowledge of CI/CD pipelines and DevOps practices.
Added 7 mins ago
V
Senior Consultant
Virtusa
Toronto, ON
- Full-time
…ensure cloud-native application deployments while adhering to DevOps best…
Added 23 mins ago
M
Cloud Solution Architect (CSA) - Cloud & AI Data
Microsoft
Ottawa, ON
- Full-time
Added 37 mins ago
V
Architect
Virtusa
Toronto, ON
- Full-time
Experience with CI/CD pipelines and DevOps practices.
Added 37 mins ago
CI
System Test Specialist
Calian in Space & Technology
Ottawa, ON
- Contract
…documentation as input, including requirements defined in Azure DevOps, Test Plans, vendor design documents and Statements of Work…
Added 37 mins ago
V
Senior Software Engineer
Virtusa
Halifax, NS
- Full-time
 Collaborate with development teams using Azure DevOps for version control (Repos)
Added 37 mins ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Added 37 mins ago
SM
RQ11531 – Scrum Master – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
…expertise in Scrum methodology, Agile practices, business analysis, DevOps environments, CI/CD processes, stakeholder management, team facilitation, coaching, and Agile metrics. The…
Added 37 mins ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 37 mins ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 37 mins ago
A
SOFTWARE ARCHITECT – WINDOWS INSTALLER & DEPLOYMENT
AMD
Markham, ON
- $156,000 to $234,000 USD / year
- Full-time
…along with CI/CD (Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or equivalent) automation of packaging, installer generation, signing, install/upgrade/uninstall and regression testing,…
Added 37 mins ago
SM
RQ11639 – UX Designer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience working in Agile delivery environments using Azure DevOps, Jira, or similar tools.
Added 37 mins ago
SM
RQ11615 - Business Analyst - Junior
S M Software Solutions Inc
Toronto, ON
- Internship
…workshops, JAD sessions, and tools such as JIRA, Confluence, Azure DevOps, Visio, Lucidchart, MIRO, and Figma. Experience with OPS procurement, regulatory compliance, service delivery…
Added 37 mins ago
SM
RQ11648 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Azure DevOps for requirements tracking and project collaboration
Added 37 mins ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Proficient in a range of business analysis and project management tools (e.g., DevOps, MS
Added 37 mins ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 37 mins ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with custom Web API development, ASP.NET, .NET Core, Entity Framework, Azure SQL, DevOps, CI/CD Pipelines etc.
Added 37 mins ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Identifies, documents, and tracks software defects using tools like ALM, JIRA, Bugzilla, and Azure DevOps.
Added 37 mins ago
C
DevOps Consultant – Application Release & Platform Operations
CGI
Halifax, NS
- Full-time
CGI is seeking an experienced DevOps Consultant – Application Release & Platform Operations to join our growing Cloud and Platform Engineering team. In this role, you will be responsible…
Added 37 mins ago
Z
LLM Engineer
ZS
Toronto, ON
- Full-time
…LoRA, etc.) cloud platforms (AWS, Databricks and Azure), and DevOps tools. They will be responsible for designing and developing scalable software solutions, leading architecture design,…

Zodiac Solutions, Inc

Data & Analytics Solutions Architect

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

Data & Analytics Solutions Architect

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.

Apply About employer

More about this job

Responsibilities

Design and lead end-to-end open-source data platform architectures for batch, streaming, analytics, and AI workloads, including modernization, migration, governance, security, and operational readiness. Provide technical leadership to delivery teams and stakeholders, optimize platform performance and reliability, and support solutioning, client discussions, mentoring, and productionization of AI and LLM workloads.

Requirements

Requires 14+ years of experience in enterprise data architecture, open-source data platforms, distributed processing, and data engineering, with hands-on expertise in the listed data technologies and programming languages. A bachelor’s degree in computer science, engineering, information systems, data management, or a related discipline is required; experience with AI/ML, MLOps/LLMOps, cloud migration, and BFSI requirements is also sought.

Skills

Enterprise Data Architecture
Open-Source Data Platforms
Apache Spark
PySpark
Apache Kafka
Apache Flink
Apache Airflow
Apache NiFi
Trino
SQL
Python
Scala
Java
Data Lakehouse Architecture
DataOps
AI/ML Platform Architecture

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
SQL
Python
Scala
Java
Apache Iceberg
Apache Hudi
Delta Lake
Data Lakehouse
DataOps
CI/CD
Data Governance
Metadata Management
Data Lineage
PostgreSQL
Cassandra
MongoDB
OpenSearch
Machine Learning
GenAI

Report this job