IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 25, 2026

Hiring at a glance

View jobs

Open jobs: 3,883
Employers: 1,813

Advertised starting pay

Average starting payCAD / year: $96,505Across 349 listings
Average starting payCAD / hour: $48.03Across 254 listings
Average starting payUSD / year: $122,129Across 57 listings
Average starting payUSD / hour: $45.33Across 15 listings

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

Where work happens

Remote: 5%176 listings
Hybrid: 38%1,490 listings
On-site: 57%2,204 listings

Not specified: <1% (13 listings)

Employers hiring include TD (67), J&M Group (45), Capgemini (41).

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

IT & data jobs in Canada

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Added 43 mins ago
PC
Systems Administrator
ProServeIT Corporation
Charlottetown, PE
- Full-time
Added 1 hour ago
C
SQL Database Administrator
CloudVital
Montreal, QC
- Full-time
Added 1 hour ago
M
Senior Data Architect
Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 1 hour ago
M
Senior Data Architect
Miratech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 2 hours ago
SF
Data Scientist, Behavioral Science & AI Evaluation
STAR FIND AI Inc.
Cambridge, ON · Greater Kitchener-Cambridge-Waterloo Metropolitan Area
- $92,000 to $100,000 CAD / year
- Full-time
Added 2 hours ago
BT
Bilingual Service Desk Analyst
Buchanan Technologies
Charlottetown, PE
- Full-time
Added 2 hours ago
I
Principal Data Architect, FSI
Infostrux
Toronto, ON
- Full-time
Infostrux is one of North America’s fastest-growing data-focused consultancies. Within 18 months of our founding in 2021, Snowflake recognized us at the highest partnership tier - a…
Added 2 hours ago
PR
HR Systems Consultant
Peterborough Regional Health Centre
Peterborough, ON
- Full-time
Added 4 hours ago
MC
Technical Business Analyst – Syndigo PIM MDM (35930)
Myticas Consulting
Canada
- Contract
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MC
Senior Enterprise Information Data Architect (35902)
Myticas Consulting
Canada
- Contract
Senior Enterprise Information / Data Architect
Added 4 hours ago
MC
Level 2 3 Network Administrator & Projects Specialist (35949)
Myticas Consulting
Ottawa, ON
- Full-time
Added 4 hours ago
MC
Senior Data Engineer Azure Data Factory Developer (35968)
Myticas Consulting
Toronto, ON
- Contract
Our client is seeking two Senior Data professionals to support a data engineering and integration initiative: one Data Engineer specializing in Databricks and Apache Spark, and one Azure…
Added 4 hours ago
MC
Data Analyst – Power BI Microsoft Fabric (35903)
Myticas Consulting
Ottawa, ON
- Full-time
We are seeking a Data Analyst to join a highly collaborative technology and data team supporting a complex, operational environment in Ottawa.
Added 6 hours ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
…learning models and driving the end-to-end ML lifecycle, from data ingestion to model serving and…
Added 7 hours ago
ZT
Technical Business Systems Analyst
Zensar Technologies
Toronto, ON
- $95,000 to $100,000 CAD / year
- Full-time
Added 9 hours ago
TC
Sr. IFRS17 Data Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Added 21 hours ago
P/
Database Administrator
PrecisionERP / PrecisionIT
Winnipeg, MB · Greater Winnipeg Metropolitan Area
- $75 to $85 CAD / hour
- Contract
Added 22 hours ago
L
Software Development Manager
LawDepot
Remote, Canada
- Full-time
- Remote
Added 1 day ago
A
It Support
Actalent
Burnaby, BC
- $28 to $35 CAD / hour
- Contract
Added 1 day ago
M
Business System Analyst
Microserve
Port Coquitlam, BC
- Full-time
Added 1 day ago
NE
Machine Learning Engineer
Neatco Engineering Services Inc.
Waterloo, ON
- Contract
Added 1 day ago
NN
Data Analyst: Student Achievement and Information Systems
Near North District School Board
North Bay, ON
- Full-time
Permanent Data Analyst: Student Achievement and Information Systems
Added 1 day ago
AS
Lead Data Scientist
AgileGrid Solutions
Canada
- Full-time
PakEnergy is accelerating its innovation. Join the team building practical AI and data science solutions for the energy industry.
Added 1 day ago
SM
RQ11576 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Data Ops/Cloud Data Engineer with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps…
Added 1 day ago
SM
RQ00812 – Business Intelligence Specialist – Oracle – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…Clinical Report Exchange (OCRE) project by developing reliable data integration pipelines, designing dimensional reporting models, and delivering operational and business intelligence…

Miratech

Senior Data Architect

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 23, 2027
Experience: 5+ years of hands-on experience with Databricks/Delta Lake and Snowflake or API-driven ingestion.
Posting language: English
Posted: Oct 25, 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, orchestration, data integrity controls, and a Kimball-style 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-ingestion experience. Candidates should have deep dimensional modeling, SQL, pipeline integrity, orchestration, and Python/PySpark expertise, along with the ability to communicate architectural trade-offs to technical and business audiences.

Skills

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

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

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