Data scientist jobs in Toronto, ON and nearby (575 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 8, 2026

Hiring at a glance

View jobs

Open jobs: 575
Employers: 253

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: 56%324 listings
On-site: 43%250 listings

Not specified: <1% (1 listing)

Employers hiring include TD (40), S M Software Solutions Inc (26), BMO (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 25 days ago
I
AI Data Architect
Insight
Toronto, ON
- Full-time
Added 25 days ago
MR
AML Data Scientist
Motion Recruitment
Toronto, ON
- $84 to $92 CAD / hour
- Contract
Our client, a large financial services organization, is hiring a Senior Data Scientist (AML) for a 6-month contract in Toronto, ON (hybrid). You’ll join a data science team focused on…
Added 25 days ago
R
Lead Data Scientist - AI
RBC
Toronto, ON
- Full-time
Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses. We are looking to hire…
Added 25 days ago
R
DSX Data Scientist
Roche
Mississauga, ON
- Full-time
Added 25 days ago
T
Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 25 days ago
Senior Machine Learning Engineer, Benefits Personalization
HelloFresh
Toronto, ON
Added 25 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON
Added 25 days ago
T
Senior Applied Machine Learning Scientist (predictive analytics)
TD
Toronto, ON
- Full-time
Added 25 days ago
AI Data Architect
Insight Enterprises, Inc.
Toronto, ON
Added 25 days ago
Machine Learning Engineer
Wawanesa Insurance
Toronto, ON
Added 25 days ago
NM
Sales & Marketing, Data Scientist
Nissan Motor Corporation
Mississauga, ON
- Full-time
We are currently looking for a Sales & Marketing, Data Scientist to join our team in Mississauga, ON.
Added 25 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Added 26 days ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Added 26 days ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Added 26 days ago
X
Senior Data Scientist - Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Added 26 days ago
BI
Enterprise Data Architect
BULL INFORMATION SYSTEMS LIMITED
Toronto, ON
- Full-time
14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 26 days ago
VR
Senior Data Modeler - 6 Month Contract
Venterra Realty
Richmond Hill, ON
- Contract
ROLE: Senior Data Modeler – 6 Months Contract
Added 26 days ago
IG
Data Modeler
Insight Global
Toronto, ON
- $88 to $91 CAD / hour
- Contract
Insight Global is seeking a Lead Data Designer/Data Mapper to support a large-scale Wealth Data Platform initiative. This role will own logical data models, source-to-target mappings,…
Added 26 days ago
ZS
Data Architect with Data Governance/Unity Catalog/Lineage
Zortech Solutions
Toronto, ON
- Contract
Role: Data Architect with Data Governance/Unity Catalog/Lineage/Retail Domain
Added 26 days ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Added 27 days ago
H
Senior Data Scientist
Hays
Toronto, ON
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 27 days ago
H
Data Scientist
Hays
Toronto, ON
- Contract
We are seeking an experienced Senior Data Scientist to support the development and adoption of advanced analytics, machine learning, and Generative AI solutions. The successful candidate…
Added 27 days ago
O
Data Scientist, ONCAP/OpCo - 12 month contract
ONCAP
Toronto, ON
- $45 to $60 CAD / hour
ONCAP is seeking a Data Scientist to support the AI, Analytics, and Data function within one of its portfolio companies. The selected candidate will be assigned to a specific operating…
Added 27 days ago
X
Senior Data Scientist – Decision Intelligence
Xanadu
Toronto, ON
- Full-time
Added 28 days ago
RT
Data Architect
Reveille Technologies,Inc
Toronto, ON
- Contract
We are looking for a hands-on Data Architect to support a strategic data controls and governance initiative. This role will be responsible for assessing data flows, designing remediation…

BULL INFORMATION SYSTEMS LIMITED

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 12, 2026
Experience: 14+ years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.
Posting language: English
Posted: Oct 13, 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, including ingestion, batch and streaming processing, data lakes, governance, and modernization. Provide technical leadership across delivery and production readiness, optimize performance and reliability, guide teams, and support client-facing solutioning and architecture standards.

Requirements

Requires 14+ years of experience in enterprise data architecture, Hadoop, Big Data engineering, and data platform modernization, with hands-on expertise in Hadoop ecosystem technologies, programming languages, and distributed processing. Candidates should also bring strong data engineering, governance, security, architecture, migration, and performance optimization experience; Hadoop, Spark, cloud data engineering, architecture, data management, security, or Big Data 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
HBase
MapReduce
SQL
Python
Java
Scala
Big Data Engineering
Data Lake
Data Warehousing
ETL/ELT
Data Integration
Data Quality
Metadata Management
Data Lineage
DataOps
Data Governance
Kerberos
Ranger
Cloud Adoption
Platform Modernization
BFSI
High Availability

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