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Added 6 hours ago
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Senior Staff Developer, User Identity & Access Management (UIAM)
Benevity
Remote, Canada
- $137,800 to $179,080 CAD / year
- Full-time
- Remote
As a Senior Staff Developer for User Identity & Access Management (UIAM), you will play a pivotal role in shaping the technical direction of our identity platform, which serves as the…
Added 6 hours ago
Senior Data Developer
Stay22
Montreal, QC
Proficiency in Python and AI-assisted or agentic development workflows, with the judgment to validate outputs through testing, profiling, review, and business context.
Added 6 hours ago
Senior Internal Auditor
Twilio
BC
…that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re…
Added 6 hours ago
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Data Scientist
Hays
ON · Ontario, Canada
- $60 to $62 CAD / hour
- Contract
Duration: 12 Months contract with possibility of extension
Added 6 hours ago
KG
Data & Analytics Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Engage with business and technology stakeholders to understand data strategy, platform requirements, architecture goals, and transformation priorities.
Added 6 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Added 6 hours ago
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Data Quality Engineer
Hays
Toronto, ON
- Contract
You will work closely with developers, data engineers, product managers, and business stakeholders to maintain the highest quality standards throughout the software development lifecycle.
Added 6 hours ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
…BOT management, TLS, DNS and cache invalidation – together with the release pipeline, the integrations on the page, and the observability practice that has to be built from real-user…
Added 6 hours ago
T
Data Scientist – Financial Crime Risk Management (FCRM)
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 6 hours ago
T
IT Support Analyst IV
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
Added 6 hours ago
QUALITY ASSURANCE AUTOMATION TESTER (UNIONIZED) - CONTRACT - HYBRID
Green Shield Canada
Windsor, ON
prepaid drug plan, and GreenShield was born as a non-profit with a mission
Added 6 hours ago
NC
Quantitative Portfolio Strategist
Nymbus Capital
Montreal, QC
- Full-time
Build and improve the systems behind them in production-ready Python, from automated trade execution and allocation infrastructure to real-time analytics and reporting tools, working…
Added 6 hours ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research…
Added 6 hours ago
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Back-End Software Engineer
Manulife
Toronto, ON
- Full-time
Pair program with other software engineers or AI tools to learn, coach, and mentor.
Added 7 hours ago
R&
IT - AML Developer IV
Robertson & Company Ltd.
Toronto, ON
- Contract
Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management,…
Added 7 hours ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
…the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth…
Added 7 hours ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
As our Quantitative Developer, Investment Platforms, you will own the systems that run our investment process end to end: the data platform that feeds every model and report, the research…
Added 7 hours ago
NC
Quantitative Portfolio Strategist
Nymbus Capital
Montreal, QC
- Full-time
Build and improve the systems behind them in production-ready Python, from automated trade execution and allocation infrastructure to real-time analytics and reporting tools, working…
Added 7 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
…clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company…
Added 7 hours ago
TH
AI System and Automation Developer
TopHat HR
Toronto, ON · Greater Toronto Area, Canada
- $85,000 to $95,000 CAD / year
- Full-time
TopHat HR is hiring on behalf of one of our clients, a diversified business group with operations across multiple businesses and industries. They are looking for a hands-on AI Systems &…
Added 7 hours ago
SS
Product Security Specialist II
Safe Software
Remote, Canada
- $102,000 to $115,000 CAD / year
- Full-time
- Remote
…safely maximize their use of AI tools, to working directly with customers and partners on their security needs. This role requires both a strong technical foundation in cybersecurity and…
Added 7 hours ago
TI
CyberSecurity Specialist
Themesoft Inc.
Toronto, ON · North York, ON
- Contract
Strong development skills in Python (most important), along with Java, Node.js, Go, and C/C++
Added 7 hours ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 7 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Added 7 hours ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top…

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

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.

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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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