Data scientist jobs in Vaughan, ON and nearby

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

Counted Nov 3, 2026

Hiring at a glance

View jobs

Open jobs: 471
Employers: 218

Advertised starting pay

Average starting payCAD / year: $133,583Across 33 listings
Average starting payCAD / hour: $71.55Across 20 listings

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

Where work happens

Remote: 0%0 listings
Hybrid: 54%253 listings
On-site: 46%217 listings

Not specified: <1% (1 listing)

Employers hiring include TD (37), RBC (11), BMO (10).

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 Vaughan, ON and nearby

Within 25 km

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Added 13 days ago
NB
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 13 days ago
IG
Data Architect
Insight Global
Toronto, ON
- $90 to $91 CAD / hour
- Contract
Insight Global is seeking a Solution Architect to support a major Wealth Data & Analytics transformation initiative. This individual will play a key role in defining and governing…
Added 13 days ago
T
Research Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 13 days ago
T
Data Scientist II
TD
Toronto, ON
- Full-time
Added 13 days ago
Data Architect & Team Lead
Konrad
Toronto, ON
Added 13 days ago
NB
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in the Credit Risk Analytics team at National Bank, you’ll be responsible for the IFRS 9 and stress testing model development and performance monitoring, as well…
Added 13 days ago
RB
Lead Data Scientist, AML Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 14 days ago
Manager, Data Scientist
Rogers Communications
Toronto, ON
Added 14 days ago
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Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 14 days ago
Data Architect – Informatica IDMC, Collibra & Data Governance
Capco
Toronto, ON
Shape the future of enterprise data architecture, governance and engineering in financial services.
Added 14 days ago
B
Machine Learning Engineer
BMO
Toronto, ON
- Full-time
…learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors,…
Added 14 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 14 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Added 14 days ago
(Senior) Data Scientist
PartnerRE Ltd.
Toronto, ON
Added 14 days ago
M
Senior Data Scientist - GenAI
Manulife
Toronto, ON
- Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 14 days ago
MR
Data Architect
MPA Recruitment
Toronto, ON
- $160,000 to $200,000 CAD / year
- Full-time
…software at some point in your life. They are now looking for a Data Architect to join their team in Halifax or Toronto…
Added 14 days ago
R
Lead Data Scientist, AML Analytics
RBC
Toronto, ON
- Full-time
As a Lead Data Scientist, Global AML Transaction Monitoring, you will develop and maintain efficient and effective AML/ATF Transaction Monitoring models that considers regulatory…
Added 14 days ago
NB
Senior Data Scientist Production and Reporting Lead
National Bank of Canada
Richmond Hill, ON
- Full-time
As a Senior Data Scientist in National Bank’s IFRS-9 and Credit Risk Analytics team, you will be responsible for IFRS-9 reporting, risk analytics, process development, and risk data…
Added 16 days ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Added 17 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Added 17 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive…
Added 17 days ago
A
Senior Data Scientist
Autodesk
Toronto, ON
- Full-time
Autodesk is seeking a Senior Data Scientist to join the Data Science & Analytics team within our Go-to-Market Data Intelligence organization. This team develops data products, predictive…
Added 17 days ago
Data Architect
Konrad
Toronto, ON
Added 17 days ago
S
Senior Machine Learning Engineer
ServiceNow
Toronto, ON
- Full-time
…reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow - helping 85% of the Fortune 500® work smarter,…
Added 17 days ago
M
Staff Machine Learning Engineer, Rewards Economy
Mistplay
Toronto, ON
- $180,000 to $220,000 USD / year
- Full-time

Miratech

Senior Data Architect

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 17, 2027
Experience: 5+ years of hands-on experience with Databricks/Delta Lake and Snowflake or API-driven ingestion.
Posting language: English
Posted: Oct 19, 2026

Original job description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.

Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

We are looking for a Senior Data Architect to design the end-to-end data platform for APEX. The platform ingests contact centre telephony and quality data from the Genesys A3S Snowflake database and Verint Workforce Management (WFM) feeds, and delivers it through a Bronze/Silver/Gold (Medallion) architecture on Databricks into a Kimball-style reporting layer.

You will own the architecture: ingestion strategy and cadence per source, incremental loading and batch control, data integrity standards, and the Gold-layer dimensional model. You will also partner with the existing CCARS pipeline team through parallel run and decommissioning of the legacy pipelines.

This role suits a hands-on Senior or Lead Data Architect who can turn complex reporting requirements into robust, auditable data solutions and explain architectural trade-offs to both engineers and business stakeholders.

Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office.

Responsibilities:

Design the Bronze/Silver/Gold data flow for the new Genesys A3S Snowflake and Verint sources, with clear standards for ingestion, transformation, validation, and consumption.
Experience with contact center migrations; Genesys Cloud experience is a big plus.
Define ingestion cadence and watermarking strategy per source, based on each source's true data freshness.
Design the Gold-layer Kimball star schema (facts, dimensions, grain, SCD Type I/II) to support sales, telephony, agent activity, and quality reporting.
Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns based on source characteristics, volumes and performance needs.
Build and optimize Databricks and Delta Lake pipelines, and set cost and performance practices for cluster sizing, job versus all-purpose compute, and Photon.
Design ingestion from the external Genesys Snowflake source, including secure connectivity, incremental extraction and source-to-target reconciliation.
Integrate Verint and other vendor feeds delivered as flat files, SFTP drops or REST APIs, normalizing inconsistent formats and tolerating schema drift.
Design API ingestion that handles pagination, rate limits, asynchronous submit-poll-retrieve jobs and per-entity fan-out at scale.
Define data integrity checks, batch control, idempotency and failure-recovery patterns for each pipeline, including row-count and checksum reconciliation and late-arriving data handling.
Design orchestration with Azure Data Factory, Databricks Workflows or equivalent, with independent batch tracking and failure isolation per source feed.
Write and review production-grade transformation logic in T-SQL, Spark SQL and Python/PySpark.
Document architecture decisions and trade-offs for engineering and business audiences.
Partner with the existing CCARS pipeline team on parallel-run validation, cutover planning and legacy pipeline decommissioning.

Qualifications

10+ years of designing data warehouse and lakehouse solutions.
5+ years of hands-on experience with Databricks/Delta Lake and Snowflake or API-driven ingestion.
Deep hands-on dimensional modeling expertise: Kimball star schema, fact and dimension design, grain definition, SCD Type I/II.
Proven experience designing Medallion (Bronze/Silver/Gold) architectures, including the trade-offs between pure lakehouse and hybrid lakehouse-to-DW designs.
Strong Delta Lake expertise: Delta tables, ACID transactions, Z-ordering, OPTIMIZE/VACUUM, and Databricks workload tuning at scale.
Expert-level T-SQL and Spark SQL, including complex joins, window functions, query tuning, indexing and partitioning.
Deep knowledge of relational databases (SQL Server preferred) and of OLTP versus OLAP design.
Track record enforcing data integrity across pipeline boundaries: referential integrity, deduplication, reconciliation, checksum/hash validation, and detecting upstream schema drift.
Experience consuming REST APIs at scale, including pagination, rate limiting, async job patterns and endpoint-specific freshness.
Experience ingesting from external Snowflake sources and non-standardized vendor exports (flat files, SFTP, vendor APIs).
Experience designing high-volume pipelines (millions of records per day, hourly-to-real-time) with backpressure, retry and failure isolation.
Experience with orchestration tools such as Azure Data Factory or Databricks Workflows.
Proficiency in Python or PySpark, and familiarity with Azure (Databricks, ADF, SQL Managed Instance, Key Vault).
Strong communication skills for documenting decisions and explaining trade-offs to technical and business audiences.

Nice to have:

Prior experience with Genesys Cloud, Genesys A3S or Verint data models.
Contact centre or telephony domain knowledge: call detail records, agent activity, quality evaluations, IVR and routing.
Experience running parallel-run migration strategies, with legacy and new systems live simultaneously during cutover.
Experience with enterprise schedulers such as AutoSys is a plus.

Additional Information

We offer:

Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.
Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Apply About employer

More about this job

Responsibilities

Design and own the end-to-end data platform, including source ingestion, Bronze/Silver/Gold transformations, data integrity controls, orchestration, and the Gold-layer Kimball reporting model. Build and optimize production pipelines, document architectural decisions, and coordinate parallel-run validation, cutover, and decommissioning of legacy pipelines.

Requirements

Requires 10+ years designing data warehouse and lakehouse solutions, including at least five years of hands-on Databricks/Delta Lake experience and strong Snowflake or API-driven ingestion experience. Candidates need deep dimensional modeling, SQL, pipeline integrity, orchestration, and Python/PySpark expertise, along with the ability to explain technical trade-offs to business and engineering stakeholders.

Skills

Data Architecture
Databricks
Delta Lake
Snowflake
Kimball Dimensional Modeling
Medallion Architecture
T-SQL
Spark SQL
Python
PySpark
Azure Data Factory
REST API Ingestion
Data Pipeline Orchestration
Data Integrity and Reconciliation
Genesys Cloud
Verint Workforce Management

Benefits

Health Insurance
Relocation Program
Professional Development Opportunities
Certification Programs
Mentorship
Internal Mobility
Remote Work Flexibility

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Databricks
Delta Lake
Snowflake
Genesys A3S
Genesys Cloud
Verint Workforce Management
Medallion Architecture
Bronze/Silver/Gold
Kimball Star Schema
Dimensional Modeling
SCD Type I/II
T-SQL
Spark SQL
Python
PySpark
Azure Data Factory
Databricks Workflows
REST APIs
SFTP
Data Ingestion
Incremental Loading
Data Reconciliation
Data Integrity
Schema Drift
Data Orchestration
SQL Server
Lakehouse
Contact Center Data
Parallel-Run Migration

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