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Added 22 mins ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Cloud & DevOps: Mastery of GCP (Cloud Run, GKE, Pub/Sub, IAM). Strong proficiency in Terraform and GitHub Actions. Experience with Event-driven architecture (Pub/Sub, Eventarc) and Workflow…
Added 23 mins ago
AS
Back End Developer
Ardent SoftSol Inc.
Brampton, ON
- Contract
Experience 8–12 years of overall IT experience with 5+ years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…
Added 23 mins ago
C
C-FIN-275 Software Engineering Intern, AI, Automation and Business Intelligence-EN
CAE
Montreal, QC
- Full-time
You will gain hands-on exposure to Microsoft Copilot, Power Automate, SharePoint, Azure DevOps, Power BI and modern automation solutions. You will also receive mentorship from experienced…
Added 23 mins ago
AI
Mainframe DevOps Migration Consultant
Aptino, Inc.
Canada
- Contract
We are looking for a Senior Mainframe DevOps / SCM Consultant with strong experience in IBM z/OS, CA Endevor, Git, IBM DBB, and IDD/Wazi to support mainframe modernization and SCM migration…
Added 23 mins ago
DI
QA Analyst (Bilingual - Mandarin/ English)
Dawn InfoTek
Toronto, ON
- Contract
Expertise in creating comprehensive test documentation, including test plans, test cases, and defect logs using tools like Jira or Azure DevOps.
Added 23 mins ago
QC
System Test Engineer (COTS)
Quarry Consulting
Ottawa, ON
- Contract
Experience using Azure DevOps for requirements management, test management, defect tracking and reporting.
Added 23 mins ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
Experience with Agile/Scrum practices and Azure DevOps tools
Added 23 mins ago
LS
Quality Assurance Engineer
LeverageTek Staffing Solutions
Canada
- Temporary
Integrate automated regression tests into Azure DevOps Release Pipelines.
Added 23 mins ago
TI
Sr. Java Backend Developer
Tekgence Inc
Brampton, ON
- Contract
Experience 8–12 years of overall IT experience with 5+ years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…
Added 23 mins ago
Y
Sr. Backend Developer
Yochana
Brampton, ON
- Full-time
Experience 8-12 Years of overall IT experience with 5+ Years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…
Added 23 mins ago
Y
Senior Backend Developer
Yochana
Toronto, ON
- Full-time
Experience 8-12 Years of overall IT experience with 5+ Years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…
Added 26 mins ago
Technical Lead - Infrastructure
BitGo
Toronto, ON
6+ years of experience in DevOps, SRE, or infrastructure engineering, building and operating complex, high-stakes production systems
Added 26 mins ago
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Strategy Execution & Delivery Effectiveness Senior Director
Experian
Canada
- Full-time
Lead portfolio planning, execution, and delivery across multiple infrastructure and platform plans (cloud, network, compute, storage, middleware, DevOps, observability, and security).
Added 26 mins ago
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Technical Analyst (Quicksight, SQL and Redshift)
FCC / FAC
Regina, SK · FCC Tower
- Full-time
Added 26 mins ago
Engineering Manager - Infrastructure
BitGo
Toronto, ON
6+ years of experience in DevOps, SRE, or infrastructure engineering, building and operating complex, high-stakes production systems
Added 26 mins ago
D
Analyste-programmeur ou analyste-programmeuse
Desjardins
Montreal, QC · Levis, QC
- Full-time
Nous sommes à la recherche d'un(e) DevOps, passionné(e) par le développement infonuagique, l'automatisation et l'exploitation de plateformes critiques, en particulier pour la plateforme de…
Added 35 mins ago
DT
Salesforce Marketing Cloud Lead Engineer
Diligente Technologies
Mississauga, ON
- Full-time
Experience with CI/CD and DevOps practices for Salesforce.
Added 37 mins ago
QW
Lead Application Modernization Architect – Open Liberty / WebSphere Liberty
Quantum World Technologies Inc.
Toronto, ON
- Contract
Implement CI/CD pipelines and DevOps best practices.
Added 39 mins ago
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Java AI Developer : Montreal, QC (Hybrid) : Full time
AceStack
Montreal, QC
- Full-time
Familiarity with Agile software development and DevOps best practices
Added 39 mins ago
KG
Data & Analytics Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Added 39 mins ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Added 39 mins ago
AC
Senior System Architect
Amphenol Communications Solutions
Markham, ON
- Full-time
Added 39 mins ago
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Sr. Front-End Developer (Angular)
Yochana
Brampton, ON
- Full-time
Looking to hire Sr. Front-End Developer to design, develop, and support modern enterprise web applications.
Added 39 mins ago
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Data Quality Engineer
Hays
Toronto, ON
- Contract
Azure DevOps, Azure ML, ISTQB, Google Cloud Professional Data Engineer, or Professional Cloud Developer certifications.
Added 41 mins ago
R
Python Java Sr Software Engineer -Montreal
RELX
Montreal, QC · Canada - Montreal (St. Laurent)
- Full-time
…world today. We work to build a culture that values excellent DevOps: speed, agility, cost savings and higher…

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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