Data scientist jobs in Canada (923 jobs)

Find data scientist jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Nov 6, 2026

Hiring at a glance

View jobs

Open jobs: 923
Employers: 451

Advertised starting pay

Average starting payCAD / year: $125,601Across 96 listings
Average starting payCAD / hour: $71.22Across 38 listings

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

Where work happens

Remote: 7%65 listings
Hybrid: 48%443 listings
On-site: 45%414 listings

Not specified: <1% (1 listing)

Employers hiring include TD (42), National Bank of Canada (20), Desjardins (14).

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 Canada

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Added 1 hour ago
M
Senior Data Architect
Miratech
Toronto, ON · Scarborough, ON
- Full-time
Added 8 hours ago
SM
RQ00239 – Senior Data Architect/Modeller
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data…
Added 8 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 9 hours ago
M
Senior Machine Learning Engineer / Applied Scientist
Microsoft
Vancouver, BC
- Full-time
We are looking for a Senior Machine Learning Engineer / Applied Scientist to help design, evaluate, and ship the next generation of AI-powered product experiences. The role combines strong…
Added 10 hours ago
T
Applied Machine Learning Scientist I
TD
Toronto, ON · Montreal, QC
- Full-time
Added 12 hours ago
C
Sr Data Architect (AWS & Databricks)
Ccube
Mississauga, ON
- $90 to $110 CAD / hour
- Full-time
Passionate about Data ? Ccube wants you on the team!
Added 13 hours ago
KG
Data Architect / Technical Architect
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Data Architect / Technical Architect
Added 14 hours ago
KT
Data Architect
Kaizen Technologies
Toronto, ON
- Contract
We are seeking a strategic Data Architect to define and implement enterprise data architecture that aligns with business objectives and supports digital transformation initiatives.
Added 14 hours ago
C
Senior Data Architect
Ccube
Mississauga, ON
- Contract
Passionate about Data ? Ccube wants you on the team!
Added 14 hours ago
B
Senior Data Scientist
BDO
Calgary, AB · AB · Halifax, NS
- Full-time
BDO Canada is looking to onboard a Senior Data Scientist with the ability to work from anywher
Added 14 hours ago
B
Senior Data Scientist
BDO
Vancouver, BC · Kitchener, ON · Oakville, ON · Ottawa, ON · Toronto, ON
- Full-time
BDO Canada is looking to onboard a Senior Data Scientist with the ability to work from anywher
Added 15 hours ago
IS
Data Modeler
Iris Software Inc.
Toronto, ON
- Contract
Design, develop, and maintain conceptual, logical, and physical data models to support enterprise DataOps platform capabilities and business data requirements.
Added 16 hours ago
AP
Senior Real World Data Scientist
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
…innovative medicines by advancing the scientific use of Real World Data (RWD). In this role, you will apply RWD to support the rare disease portfolio, aligned with AstraZeneca best…
Added 16 hours ago
QW
AWS Data Architect
Quantum World Technologies Inc.
Toronto, ON
- Contract
We are looking for an experienced AWS Data Architect to design, develop, and implement scalable, secure, and high-performance data architecture solutions on Amazon Web Services (AWS). The…
Added 17 hours ago
T
Senior Data Architect/Modeller
TEEMA
Toronto, ON
- $80 to $100 CAD / hour
- Contract
Significant experience designing enterprise data architectures and conceptual, logical, and physical data models for AI/ML, Generative AI, analytics, and cloud workloads, including the data…
Added 17 hours ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Montreal, QC
- Full-time
Added 17 hours ago
D
Credit Risk Strategy Data Scientist
Desjardins
Montreal, QC
- Full-time
…Desjardins Group’s sustainability. As a credit risk strategy data scientist, you help develop, implement and optimize credit risk strategies for personal financing products, at granting and…
Added 17 hours ago
C
Data Scientist (Hybrid)
Cognizant
Toronto, ON
- Full-time
We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data
Added 17 hours ago
MS
Client Financing Strategist (Front Desk Quant) (Hybrid) / Stratège du financement de la clientèle (analyste quantitatif·ve à la réception) (hybride)
Morgan Stanley
Montreal, QC
- Full-time
…repo and bills and driving system development; and building data analytics that improve business operation…
Added 19 hours ago
CS
Azure data architect
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Azure Data Architect to design and lead secure, scalable enterprise data solutions on Azure. The ideal candidate will have strong expertise in Azure…
Added 19 hours ago
IF
Data Scientist
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
As a Data Scientist, you will contribute to end-to-end innovation projects, from exploring new data sources to monitoring the perform
Added 19 hours ago
RT
Machine Learning Engineer
Russell Tobin
Toronto, ON
- Contract
Added 19 hours ago
IC
Senior Data Architect / Modeller
Infotek Consulting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
We are looking for an experienced Senior Data Architect / Modeller to help shape enterprise data architecture and build scalable, AI-ready data solutions.
Added 20 hours ago
MR
Data Architect
MPA Recruitment
Toronto, ON
- 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 20 hours ago
CS
Data Architect
CONFLUX SYSTEMS
Toronto, ON
- Contract
Looking for experienced Data Architects with strong hands-on experience in AWS and SAS.

Miratech

Senior Data Architect

Toronto, ON, Canada
Scarborough, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 5, 2027
Experience: 5+ years of hands-on experience with Databricks/Delta Lake and Snowflake or API-driven ingestion.
Posting language: English
Posted: Nov 6, 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, and a Kimball-style reporting model for Genesys, Verint, and related data. Build reliable, auditable Databricks pipelines; define data quality, orchestration, and recovery standards; and lead parallel-run validation and legacy pipeline decommissioning with the existing team.

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-ingestion experience. Candidates should have deep dimensional modeling, SQL, Python/PySpark, pipeline integrity, orchestration, and Azure expertise, along with the ability to communicate architectural decisions to technical and business audiences.

Skills

Data Architecture
Databricks
Delta Lake
Snowflake
Kimball Dimensional Modeling
Medallion Architecture
T-SQL
Spark SQL
Python
PySpark
Azure Data Factory
Data Pipeline Design
REST API Ingestion
Data Integrity and Reconciliation
Data Orchestration
Contact Center Data

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Databricks
Delta Lake
Snowflake
Azure Data Factory
Azure
SQL Server
SQL Managed Instance
Key Vault
T-SQL
Spark SQL
Python
PySpark
Genesys A3S
Genesys Cloud
Verint Workforce Management
REST APIs
SFTP
Medallion Architecture
Kimball Star Schema
Dimensional Modeling
Slowly Changing Dimensions
Data Warehousing
Lakehouse Architecture
Data Ingestion
Data Orchestration
Data Integrity
Data Reconciliation
Schema Drift
Parallel-Run Migration
Contact Center Analytics

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