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Added 1 hour ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL
Added 1 hour ago
MC
Node.js API Developer , Banking API Modernizatio (35909)
Myticas Consulting
Toronto, ON
- Contract
We are seeking an experienced Node.js API Developer (AWS) to support a major Canadian financial institution’s Digital Core modernization initiative.
Added 1 hour ago
MC
Solutions Architect – AWS Node.js Digital Banking (35654)
Myticas Consulting
Toronto, ON
- Contract
AWS Certified Solutions Architect or AWS Certified Developer certification.
Added 4 hours ago
RT
Data Architect
Reveille Technologies,Inc
Toronto, ON
- Contract
Added 9 hours ago
B
Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
- Full-time
Event-driven systems. Building producers/consumers on an event hub / Apache Kafka; event-schema design and real-time aggregations.
Added 13 hours ago
ES
Senior Java Engineer
EPAM Systems
Toronto, ON
- Full-time
Hands-on experience with AWS or comparable cloud platforms, alongside familiarity with event-driven architectures and technologies such as Kafka
Added 16 hours ago
V
Senior Consultant
Virtusa
Mississauga, ON
- Full-time
Strong expertise in messaging and event platforms (Solace, Kafka, AMPS) and event-driven architecture design.
Added 17 hours ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Experience with high-throughput streaming or messaging systems such as Kafka, Kinesis, Flink, Spark, Apache Pinot or similar.
Added 18 hours ago
R
Senior Manager, Software Development
RBC
Toronto, ON
- Full-time
…practices that improve delivery velocity, software quality, and developer…
Added 18 hours ago
B
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
Infrastructure: AWS/Azure, Docker, Kubernetes, Kafka
Added 18 hours ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
Infrastructure: AWS/Azure, Docker, Kubernetes, Kafka
Added 19 hours ago
V
Java Developer
Virtusa
Mississauga, ON
- Full-time
Knowledge of message queues / streaming platforms (Kafka, RabbitMQ)
Added 21 hours ago
Senior Data Engineer
Livingston International
Toronto, ON
Working knowledge of streaming/real-time data technologies (e.g., Kafka, Pub/Sub) is required.
Added 23 hours ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Design data ingestion, integration, streaming, storage, and consumption patterns using technologies such as Spark, Kafka, Flink, NiFi, and Trino.
Added 1 day ago
S
Dotnet Developer
SMARTFOX
Canada
- Full-time
Create microservices and event-driven systems using Azure Service Bus, RabbitMQ, Kafka, or similar
Added 1 day ago
S
Site Reliability Engineer
SMARTFOX
Canada
- Full-time
Knowledge of distributed systems, databases, and caching layers (PostgreSQL, Redis, Kafka)
Added 1 day ago
A
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
Extensive hands-on experience with multiple components of the big data stack (Hadoop, Spark, Hive, Trino, Kafka, Flink, NiFi or similar).
Added 1 day ago
C
Senior QA Automation Engineer – Java & Playwright
Cognizant
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
Working knowledge of Kafka, MongoDB, and AWS S3.
Added 1 day ago
E
Analyste QA senior, SDET – Tests de paiements, d’API et d’événements / Senior QA Analyst, SDET – Payments, API & Event Testing
Expleo
Montreal, QC
- Contract
…systèmes distribués et des plateformes événementielles comme Kafka. Vous concevrez et exécuterez des scénarios de test, validerez les intégrations, gérerez les anomalies et contribuerez à…
Added 1 day ago
SL
Senior Software Engineer, Operations
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Added 1 day ago
C
Application Development Senior Manager - Vice President
Citi
Mississauga, ON
- Full-time
…volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks…
Added 1 day ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
Added 1 day ago
SE
DevOps Engineer
SWTCH Energy Inc.
Remote, Canada
- Full-time
- Remote
Experience with messaging and streaming systems such as Kafka or SQS.
Added 1 day ago
S
Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
Design, build, and operate components of our Streaming Platform, including Kafka, the streaming runtime, high-level APIs, and developer-facing abstractions.
Added 1 day ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and cloud…

Closed listing

Zodiac Solutions, Inc

Data & Analytics Solutions Architect

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.

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.

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

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