Jobs in Vaughan, ON and nearby

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

47,833 listings · 6,744 employers Counted Oct 8, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (907 listings), Shoppers Drug Mart (660 listings), Scotiabank (574 listings).

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

6,842 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	4,097
CAD / hour	23.34	2,028
USD / year	120,000.00	353
USD / hour	20.00	94
GBP / hour	35.00	14
CAD / month	4,000.00	13
CAD / week	1,125.00	12

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 Vaughan, ON and nearby

Within 25 km

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Added 12 hours ago
FR
Security Concierge
FirstService Residential Canada
Toronto, ON
- Full-time
Added 12 hours ago
BO
Canada | Toronto | Global Technology Summer Analyst - Software Engineer | 2027
Bank of America
Toronto, ON
- Volunteer
Added 12 hours ago
LF
Freight Manager
Lush Fresh Handmade Cosmetics North America
Toronto, ON
- Full-time
Added 12 hours ago
AS
Retail Sales Representative - Temporary
Advantage Solutions
Vaughan, ON
- $45,000 to $50,000 CAD / year
- Internship
Added 12 hours ago
CC
Specialist, Tax
Coca-Cola Canada Bottling Limited
Toronto, ON
- Full-time
Added 12 hours ago
GC
Accounting Supervisor (1-Year Contract)
Greenwin Corp.
Toronto, ON
- Full-time
Added 12 hours ago
TM
Sales Engineer
Technical Management Group Ltd. (TMG)
Toronto, ON
- Full-time
Added 12 hours ago
DW
Experienced Patent Associate Lawyer
Deeth Williams Wall LLP
Toronto, ON
- Full-time
Added 12 hours ago
KG
Accountant
KUTHALA GROUP
Brampton, ON
- Full-time
Added 12 hours ago
WC
HR Generalist
Waste Connections of Canada
Woodbridge, ON
- Full-time
Added 12 hours ago
BO
Canada | Toronto | Global Technology Summer Analyst - Business Analyst | 2027
Bank of America
Toronto, ON
- Volunteer
Added 12 hours ago
EG
Expedia Group Advertising Planning & Insights (EGA-PI) Manager (FTC)
Expedia Group
Toronto, ON
- $65,500 to $92,000 CAD / year
- Full-time
Added 12 hours ago
B
Team Captain, Technical Support
Boldr
Toronto, ON
- $50,400 to $63,000 CAD / year
- Full-time
Added 12 hours ago
ZA
Sales Consultant - Alta Nissan Richmond Hill (26315)
Zanchin Automotive Group
Richmond Hill, ON
- Full-time
Added 12 hours ago
CR
kitchen manager
Chuck's Roadhouse Bar & Grill
Toronto, ON
- Full-time
Added 12 hours ago
CR
line cook
Chuck's Roadhouse Bar & Grill
Toronto, ON
- Full-time
Added 12 hours ago
W
Tort Law Clerk
W3Global
Toronto, ON
- $60,000 to $90,000 CAD / year
- Full-time
Added 12 hours ago
CC
carpenter
CPT Construction
Toronto, ON
- Full-time
Added 12 hours ago
M
Project Manager
Metrolinx
Toronto, ON
- Full-time
Added 12 hours ago
SH
Customer Service Representative (Part-time)
Schomberg Home Hardware
Schomberg, ON
- $17.95 to $19 CAD / hour
- Part-time
- On-site
Added 12 hours ago
GT
SUPER LUXURY SERVICE ADVISOR - DOWNTOWN SERVICE TEAM
Grand Touring Automobiles
Toronto, ON
- Full-time
Added 12 hours ago
ES
Licensed Hair Stylist (ON)
Elmwood Spa
Toronto, ON
- Full-time
Added 12 hours ago
KH
hairstylist
Kamiya Hairdressing
Toronto, ON
- Full-time
Added 12 hours ago
TC
carpenter, concrete forms
TEKK Construction Group
Woodbridge, ON
- Full-time
Added 12 hours ago
AA
Spa Attendant - Part-Time
AIRE Ancient Baths
Toronto, ON
- Part-time

Iris Software Inc.

Data Architect (AWS)

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 5, 2026
Experience: 8+ years hands-on data engineering experience, including production ownership
Posting language: English
Posted: Oct 6, 2026

Original job description

Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Data Architect (AWS) a long-term opportunity at Toronto, ON (Hybrid).

Our client is a Canadian multinational financial services company and the largest bank in Canada by market capitalization. The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services.

Position: Data Architect (AWS)

Location: Toronto, ON (Hybrid)

Duration: 12+ Months

Required Skills

Client & Relationship Ownership

Act as the primary onsite technical point of contact for all engineering/architecture matters related to the risk and regulatory data platform
Build and sustain trusted advisor relationships with client stakeholders (risk technology, compliance, data platform, and business teams)
Represent the delivery organization in client forums, steering committees, and technical design reviews
Proactively surface risks, dependencies, and modernization opportunities to the client

Delivery Ownership

Own and manage offshore delivery team output - assign work, review deliverables, enforce engineering standards, and ensure on-time, high-quality delivery
Bridge onsite/offshore communication gaps; translate client requirements into actionable offshore work plans
Own technical quality gates: code reviews, architecture reviews, data validation/reconciliation sign-off

Technical/Architecture

Design and validate migration patterns from legacy Netezza/SSIS ETL to AWS-native pipelines (Glue, PySpark, S3, Redshift, Lambda etc.)
Provide hands-on architecture and coding guidance - this is a working architect role, not purely advisory
Own data migration reconciliation strategy (source-to-target validation, PII/sensitive data handling, encryption)
Design for regulatory reporting requirements (auditability, lineage, data quality controls) typical of retail/wholesale enterprise risk platforms
Optimize Redshift schema/performance and Glue/PySpark job design for regulatory batch and reporting workloads
Support integration with downstream risk model consumption patterns (e.g., model inference pipelines, scoring APIs)

Required Technical Skills

8+ years hands-on data engineering experience, including production ownership
Deep expertise in legacy ETL platforms: Netezza (SQL, nz unload alternatives, performance tuning), SSIS
Strong hands-on AWS Lakehouse skills: S3, Redshift, Glue, PySpark, Lambda etc.
Proven experience designing and executing large-scale data migrations (legacy MPP → cloud lakehouse / warehouse)
Strong SQL and data modeling skills (dimensional and normalized models)
Experience with data quality, reconciliation, and validation frameworks for regulated data
Familiarity with encryption/PII handling and data governance controls
Understanding of CI/CD and orchestration tooling (Airflow, Glue workflows, or equivalent)

Preferred/Plus

Banking domain experience, specifically enterprise risk (retail and/or wholesale) and regulatory compliance/reporting
Familiarity with risk model ecosystems (e.g., credit risk scoring, AIM/ARM-type models, SageMaker-based inference)
Experience with Microsoft Fabric or similar competing platforms (useful for informed architecture debates)
AWS certification (Solutions Architect or Data Analytics Specialty)

Required People/Leadership Skills

Executive presence - comfortable presenting to senior client technical and business stakeholders
Strong stakeholder management: able to earn trust incrementally and defend design decisions under scrutiny
Team leadership: able to direct and mentor an offshore delivery team without daily hand-holding from presales/account leadership
Excellent written and verbal communication - able to translate deep technical detail into business-relevant narrative
Comfortable operating with ambiguity in an early-relationship, trust-building phase
Ownership mindset - treats the account as their own, not just an assigned task

Success Criteria (First 6 Months)

Established as the client's trusted technical go-to for the risk/regulatory platform
Offshore delivery operating smoothly under this person's direction with minimal escalations
Migration architecture validated and accepted by client architecture/governance bodies
Measurable progress on legacy-to-Lakehouse migration milestones

Thanks and Regards,

Raghav Ranjan

Iris Software / SSA Infosystems Inc

Royal Bank Plaza – North Tower

200 Bay Str. Toronto, ON, M5J 2J2

Email: raghav.ranjan@irissoftware.com

www.irissoftware.com

Apply About employer

More about this job

Responsibilities

Lead the technical relationship and architecture for the client's risk and regulatory data platform, including migration from legacy Netezza and SSIS systems to AWS-native data pipelines. Direct offshore delivery, ensure engineering quality and regulatory controls, and guide migration validation, performance, and downstream risk-model integrations.

Requirements

Requires 8+ years of hands-on data engineering experience, strong expertise in Netezza, SSIS, AWS lakehouse services, SQL, data modeling, and large-scale cloud migrations. Candidates should also demonstrate regulated-data quality and governance experience, leadership of offshore teams, and strong client-facing communication; banking risk experience and AWS certification are preferred.

Skills

AWS
Data Architecture
Data Engineering
Netezza
SSIS
Amazon S3
Amazon Redshift
AWS Glue
PySpark
AWS Lambda
SQL
Data Modeling
Data Migration
Data Reconciliation
Data Governance
Offshore Team Leadership

Visa sponsorship

Not detected in the job text

Hiring contact

Raghav Ranjan

Hiring contact email

raghav.ranjan@irissoftware.com

Keywords

AWS
Amazon S3
Amazon Redshift
AWS Glue
PySpark
AWS Lambda
Netezza
SSIS
SQL
Airflow
Data Architecture
Data Engineering
Data Migration
Lakehouse
Data Warehouse
Data Modeling
Dimensional Modeling
Data Quality
Data Reconciliation
Data Validation
Data Lineage
PII Handling
Encryption
Data Governance
CI/CD
Regulatory Reporting
Enterprise Risk
Credit Risk Scoring
Amazon SageMaker

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