Jobs in Toronto, ON and nearby

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

79,789 listings · 9,959 employers Counted Oct 28, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,294 listings), Loblaw Companies Limited (1,114 listings), S M Software Solutions Inc (962 listings).

Common roles: Software engineer, Project manager, Retail sales associate.

13,010 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	85,000.00	7,175
CAD / hour	26.00	4,683
USD / year	110,000.00	496
USD / hour	26.95	263
CAD / month	5,250.00	22
CAD / week	2,868.82	18

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.

Workplace classifications: 0% remote, 29% hybrid, 71% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Toronto, ON and nearby

Within 25 km

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Added 3 hours ago
A
Personal Support Worker Temp. Part-time AgeCare Westbury
AgeCare
Toronto, ON
- Part-time
Added 3 hours ago
SJ
Health Care Attendant 2E Medicine
St. Joseph's Health Centre, Toronto
Toronto, ON
- Temporary
Added 3 hours ago
ZS
Mobile developer - React Native
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 3 hours ago
B
Managing Director - Cybersecurity & Core Technology Audit
BMO
Toronto, ON
- Full-time
Added 3 hours ago
Public Sector Buildings - Greater Toronto Area Talent Community
Tiree
Toronto, ON
Added 3 hours ago
Senior Accountant
Clutch Technologies Inc.
Toronto, ON
Added 3 hours ago
Marketing & GTM Operations Lead (Hybrid)
OpenTable
Toronto, ON
Added 3 hours ago
Service Technician Skis and Bikes
Sporting Life Group
Richmond Hill, ON
Added 3 hours ago
SD
Pharmacovigilance Specialist
Shoppers Drug Mart Specialty Health Network
Mississauga, ON
- Full-time
Added 3 hours ago
C
Work Equipment HDM (Mechanic A)
CN
Toronto, ON
- Full-time
Added 3 hours ago
KG
Operational Controls Analyst/Archer/ServiceNow/GRC
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Added 3 hours ago
LM
Job Posting Test (DATA API)
Lever Middleware Test Company
Toronto, ON
- Full-time
Added 3 hours ago
LV
ASSISTANT MANAGER-EN
La Vie En Rose
Toronto, ON
- Full-time
Added 3 hours ago
ET
Android Developer
Envision Technology Solutions
Toronto, ON
- Contract
Added 3 hours ago
H
Internal Audit Manager
HiredUp
Toronto, ON
- Full-time
Added 3 hours ago
S
Staff Security Engineer
Snaplii
Toronto, ON
- Full-time
Added 3 hours ago
S&
SEO Manager
Saatchi & Saatchi Canada
Toronto, ON
- Full-time
Added 3 hours ago
SD
Pharmacovigilance Specialist
Shoppers Drug Mart Specialty Health Network
Mississauga, ON
- Full-time
Added 3 hours ago
DD
Strategic Account Representative
D&H Distributing
Mississauga, ON
- Full-time
Added 3 hours ago
DD
Strategic Account Representative
D&H Distributing
Mississauga, ON
- Full-time
Added 3 hours ago
DG
Licensed Technician
Dilawri Group of Companies
Mississauga, ON
- Full-time
Added 3 hours ago
LC
Pharmacy Assistant - CPS
Loblaw Companies Limited
Mississauga, ON
- Full-time
Added 3 hours ago
L
Warehouse Associate
lululemon
Mississauga, ON
- Full-time
Added 3 hours ago
WI
Senior Metallurgist
WSP in Canada
Toronto, ON
- Full-time
Added 3 hours ago
S
Head of Acquisition
Snaplii
Toronto, ON
- Full-time

Zodiac Solutions, Inc

Principal Databricks Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

Job Title: Principal Databricks Data Engineer

Location: Toronto, ON Onsite / 4 days office

Job Type: Full-Time Permanent

**Key Requirements**

12–18 years of overall data engineering experience

8+ years of experience in enterprise Data Warehouse and Data Lake platforms

5+ years of hands-on experience with Databricks and Spark at scale

Strong experience in modernizing legacy Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark) to Databricks Lakehouse

Redesign ingestion, transformation, and consumption patterns from HDFS-based architecture to cloud object storage and Delta Lake

Refactor legacy Hive/Impala logic into PySpark and Spark SQL ELT pipelines

Ensure data reconciliation, audit integrity, and consistency during migration

Design and govern enterprise Data Warehouse and Data Lake/Lakehouse architectures

Implement layered architecture including Raw/Landing, Curated/Conformed, and Semantic/Consumption layers

Modernize traditional EDW platforms into scalable lakehouse architectures

Strong experience in finance and risk data models including General Ledger, Sub-ledger, financial hierarchies, and risk exposure models (credit, liquidity, market risk)

Enable reporting use cases including aggregation, drill-down, and drill-back capabilities

Build and manage semantic/consumption layers for BI, reporting, and analytics

Define business metrics, dimensions, hierarchies, and KPIs

Experience with Databricks SQL, Delta tables, and dbt or similar frameworks

Develop and optimize large-scale data pipelines using PySpark, Spark SQL, and Delta Lake

Implement Medallion architecture (Bronze, Silver, Gold layers)

Optimize workloads using Z-ORDER, OPTIMIZE, caching, and cluster configurations

Implement data governance, data quality frameworks, reconciliation controls, and exception handling

Establish data lineage and metadata management

Ensure data security, access control, and compliance standards

Experience with cloud platforms such as AWS or Azure

Experience with CI/CD pipelines using Git, Terraform, Jenkins, or Azure DevOps

Familiarity with orchestration tools such as Airflow or Databricks Workflows

Experience with dbt is a plus

Act as a technical authority and lead architecture decisions

Mentor and guide senior engineers and establish engineering standards

Strong stakeholder management with finance, risk, analytics, and governance teams

Ability to translate complex data structures into business-ready insights

**Nice to Have**

Experience in BFSI, Capital Markets, or regulatory reporting

Exposure to SAP Finance, Oracle Financials, or S/4HANA

Experience supporting AI/ML workloads

Databricks or cloud certifications

**Impact**

Lead Cloudera to Databricks transformation initiatives

Shape enterprise finance and risk data platforms

Support regulatory, management, and analytical reporting systems

Apply About employer

More about this job

Responsibilities

Lead the migration of legacy Cloudera platforms to Databricks Lakehouse, designing and optimizing enterprise data architectures, pipelines, and finance and risk data models. Establish governance, quality, lineage, security, and reporting capabilities while guiding engineering teams and collaborating with finance, risk, analytics, and governance stakeholders.

Requirements

Requires 12–18 years of data engineering experience, including 8+ years with enterprise data warehouse and data lake platforms and 5+ years of hands-on Databricks and Spark experience. Candidates should have experience modernizing Cloudera, building large-scale lakehouse pipelines, working with finance and risk data, and using cloud, CI/CD, and orchestration tools.

Skills

Databricks
Apache Spark
PySpark
Spark SQL
Delta Lake
Cloudera Migration
Data Warehouse Architecture
Data Lakehouse Architecture
Financial and Risk Data Modeling
Data Governance
Data Quality
Data Reconciliation
Databricks SQL
dbt
AWS
Azure

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Apache Spark
PySpark
Spark SQL
Delta Lake
Cloudera
CDH
CDP
Hive
HBase
Impala
HDFS
Data Warehouse
Data Lakehouse
Medallion Architecture
Databricks SQL
dbt
AWS
Azure
Git
Terraform
Jenkins
Azure DevOps
Airflow
Databricks Workflows
Finance Data
Risk Data
Data Governance
Data Lineage
CI/CD

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