Data scientist jobs in Toronto, ON and nearby (559 jobs)

Data scientist jobs within 25 km of Toronto, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 559
Employers: 252

Advertised starting pay

Average starting payCAD / year: $136,371Across 41 listings
Average starting payCAD / hour: $73.21Across 31 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 55%310 listings
On-site: 44%248 listings

Not specified: <1% (1 listing)

Employers hiring include TD (40), BMO (12), S M Software Solutions Inc (12).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Toronto, ON and nearby

Within 25 km

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Added 11 days ago
M
RQ11485 - Data Architect/Modeller - Senior
Maarut
Toronto, ON
- Contract
Develops and implements the data architecture for
Added 11 days ago
M
RQ11575 - Data Architect/Modeller - Senior
Maarut
Toronto, ON
- Contract
Develops and implements the data architecture for
Added 11 days ago
CS
Data Architect
CQ Search Group Ltd.
Toronto, ON
- Contract
Our client, the Ontario Ministry of Land & Resources has a 12 month renewable hybrid remote contract for a Data Architect.
Added 11 days ago
S
Data Scientist
Syntrace
Toronto, ON
- Full-time
We are now hiring a Data Scientist, based in Toronto.
Added 11 days ago
B
Data Architect
Bevertec
Toronto, ON
- $100 to $105 CAD / hour
- Contract
Develops and implements the data architecture for application development in a complex and distributed environment, including the determination of the flow and distribution of data, the…
Added 11 days ago
T
Research Machine Learning Scientist II (B3617)
TD
Toronto, ON
- Full-time
Added 11 days ago
NI
Data Modeler
Nityo Infotech
Toronto, ON
- Contract
The Senior Data Modeller/Engineer will support Enterprise Payments’ operational data store by combining advanced JSON/MongoDB data modeling with cloud-based data engineering on the Rahona…
Added 11 days ago
T
Senior Data Architect/Modeller – Common & Canonical Data Models
ThoughtStorm
Toronto, ON
- Contract
Hands-on conceptual, semantic, logical and physical data modelling.
Added 11 days ago
V
Data Architect
VySystems
Toronto, ON
- Full-time
…Architecture. Proficient in PySpark and SQL. Strong background in Data Modeling (Dimensional/Data Vault), Data Migration, and Modernization. Experience with Azure Data Factory and ADLS…
Added 11 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 11 days ago
Senior Data Scientist
TripleLift
Toronto, ON
The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of Tri
Added 11 days ago
C
Data Scientist, Model Performance Monitoring and Reporting
CIBC
Toronto, ON
- Full-time
Added 11 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 11 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 12 days ago
I
Principal Data Architect, FSI
Infostrux
Toronto, ON
- Full-time
Infostrux is one of North America’s fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a…
Added 13 days ago
Senior Data Scientist, Financial Services
Clutch Technologies Inc.
Toronto, ON
Added 14 days ago
RB
Lead Data Scientist
Royal Bank of Canada
Toronto, ON
- Full-time
Added 14 days ago
Y
Data Architect (Google BigQuery/GCP to Azure Databricks)
Yochana
Toronto, ON
- Full-time
We are seeking an experienced Data Architect to lead the architecture and modernization of our enterprise data platforms. This role is critical as we undertake a large-scale migration from…
Added 14 days ago
N
Data Scientist
Numeris
Toronto, ON
- Full-time
Numeris is Canada’s most trusted and authoritative source for broadcast measurement and consumer behaviour data. As well, the industry leading intelligence provider to broadcasters,…
Added 14 days ago
T
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480
TD
Toronto, ON
- Full-time
Added 14 days ago
IG
Senior Data Scientist
Insight Global
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
7+ years of experience in data science, applied machine learning, predictive analytics, or a related field.
Added 14 days ago
R
Lead Data Scientist
RBC
Toronto, ON
- Full-time
Added 14 days ago
SL
Data Scientist
Sun Life
Toronto, ON
- Full-time
Added 14 days ago
SM
Senior Data Scientist
Sago Mini
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Added 14 days ago
V
Data Architect
VySystems
Toronto, ON
- Contract
Strong background in Data Modeling (Dimensional/Data Vault), Data Migration, and Modernization.

Zodiac Solutions, Inc

Enterprise Data Architect

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 21, 2026
Experience: 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Posting language: English
Posted: Oct 22, 2026

Original job description

Skills Required:

Must to Have:

14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.

Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.

Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.

Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.

14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.

Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.

Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.

Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.

Expertise in batch and distributed data processing using Spark, Hive, HBase, and MapReduce frameworks.

Experience building data ingestion and streaming solutions using Kafka and Hadoop ecosystem tools.

Strong knowledge of Data Engineering practices, including ETL/ELT, data integration, data quality, metadata management, lineage, observability, and DataOps.

Experience with Data Lake, Data Warehousing, Enterprise Data Models, Master Data, and Data Governance frameworks.

Strong understanding of security and governance controls, including Kerberos, Ranger, encryption, privacy, auditability, compliance, and controlled data access.

Proven experience in architecture definition, HLD/LLD creation, migration planning, technical governance, production readiness, and performance optimization.

Experience supporting platform modernization, cloud adoption, solutioning, effort estimation, and client-facing technical discussions.

Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.

Preferred certifications in Hadoop, Spark, Cloud Data Engineering, Enterprise Architecture, Data Management, Security, or Big Data Platforms.

Roles and Responsibilities:

Engage with business and technology stakeholders to understand business objectives, data platform requirements, and modernization goals.

Define end-to-end architecture for Hadoop and Big Data platforms supporting analytics, reporting, and AI workloads.

Design scalable, secure, and high-performance Hadoop ecosystems using HDFS, YARN, Spark, Kafka, Hive, and related technologies.

Architect data ingestion, batch processing, streaming, and data lake solutions for enterprise-scale environments.

Define data models, data lake zones, governance frameworks, metadata management, lineage, and security standards.

Lead Hadoop modernization, migration, and platform optimization initiatives to improve performance, scalability, and operational efficiency.

Establish architecture standards, reusable frameworks, engineering best practices, and DataOps operating models.

Provide technical leadership across solution design, implementation, testing, migration, deployment, and production support activities.

Conduct architecture reviews, identify risks and dependencies, and guide teams on mitigation strategies and best practices.

Drive performance tuning, capacity planning, reliability improvements, and infrastructure cost optimization.

Collaborate with data engineers, platform teams, architects, vendors, and client stakeholders to deliver enterprise data solutions.

Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops.

Mentor architects and engineers and contribute to hiring, capability development, and knowledge-sharing initiatives.

Develop reusable accelerators, reference architectures, implementation frameworks, and technical best practices for Big Data platforms

Apply About employer

More about this job

Responsibilities

Define and lead secure, scalable Hadoop and Big Data architectures for analytics, reporting, and AI workloads, including data ingestion, processing, governance, and modernization. Provide technical leadership across delivery and production support, optimize platform performance and reliability, and collaborate with stakeholders while mentoring teams and developing reusable architecture assets.

Requirements

Requires 14+ years of experience in enterprise data architecture, Hadoop, Big Data Engineering, and platform modernization, with hands-on expertise across Hadoop ecosystem technologies, programming languages, and distributed data processing. Candidates should also bring experience in data engineering, governance, security, architecture and migration planning, platform modernization, and BFSI regulatory requirements; relevant certifications are preferred.

Skills

Enterprise Data Architecture
Hadoop
HDFS
YARN
Hive
Spark
PySpark
Kafka
SQL
Python
Java
Scala
Big Data Engineering
Data Lake Architecture
Data Governance
DataOps

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Hadoop
HDFS
YARN
Hive
Spark
PySpark
Kafka
SQL
Python
Java
Scala
HBase
MapReduce
Big Data Engineering
Data Lake
Data Warehousing
ETL/ELT
Data Integration
Data Quality
Metadata Management
Data Lineage
DataOps
Data Governance
Kerberos
Ranger
Cloud Data Engineering
Platform Modernization
BFSI
Architecture Design

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