IT & data jobs in Canada

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

Counted Oct 26, 2026

Hiring at a glance

View jobs

Open jobs: 3,905
Employers: 1,821

Advertised starting pay

Average starting payCAD / year: $96,515Across 350 listings
Average starting payCAD / hour: $48.38Across 257 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%177 listings
Hybrid: 38%1,496 listings
On-site: 57%2,218 listings

Not specified: <1% (14 listings)

Employers hiring include TD (67), J&M Group (45), Amazon (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 7 mins ago
IG
Data Engineer
Insight Global
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Hands-on experience developing and migrating data pipelines.
Added 7 mins ago
SM
RQ00762 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Microsoft Dynamics AX/D365 Finance and Operations (D365FO)/C365CM, Data Management Framework (DMF), system integrations, Microsoft Power Platform, Power Apps, Power Pages, and Dataverse.…
Added 7 mins ago
2I
Financial Data Analyst
2iSolutions Inc.
Oshawa, ON
- $90 to $95 CAD / hour
- Contract
Our client - A large industrial organization based out of Oshawa - is looking to hire a Financial Data Analyst for a 1 year contract position. This is an hybrid based position - on-site 2…
Added 7 mins ago
DC
Database Administrator
Dasro Consulting Inc.
Winnipeg, MB
- Contract
Added 36 mins ago
TC
Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
TechNeptune Consulting Inc.
Canada
- Contract
We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data…
Added 36 mins ago
TC
Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 36 mins ago
TI
Database Administrator
Teckhorizon Inc
Toronto, ON
- Contract
Added 36 mins ago
IG
Data Engineer
Insight Global
Toronto, ON
- $85 to $89 CAD / hour
- Contract
Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.
Added 36 mins ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $82 CAD / hour
- Contract
Hands-on experience developing and migrating data pipelines.
Added 36 mins ago
IS
Business System Analyst (Banking domain)
Iris Software Inc.
Toronto, ON
- Contract
Added 1 hour ago
S
Intermediate Data Engineer
Swoon
Toronto, ON
- $80 to $90 CAD / hour
- Contract
We are seeking a Data Engineer with experience in data engineering, cloud technologies, and machine learning operations to support the development and improvement of data capabilities.
Added 1 hour ago
M
Senior Data Architect
Miratech
Toronto, ON · North York, ON
- Full-time
Added 1 hour ago
GZ
Data Analyst
Gestion Zagora
Westmount, QC
- Full-time
Gestion Zagora manages more than 8,000 residential units across Canada and the US. The Data Strategy & Innovation team partners with Finance, Asset Management, Operations, Accounting, and…
Added 1 hour ago
GE
Data Analyst - WFM
Global Excel Management
Sherbrooke, QC
- Other
Are you an analytical professional who enjoys transforming data into meaningful business insights? Do you thrive in a fast-paced environment where your analyses directly influence…
Added 1 hour ago
Software Development Manager, Region Flexibility & Efficiency
Amazon
Toronto, ON
Added 1 hour ago
Senior Data Scientist
TripleLift
Toronto, ON
The Data Scientist / Machine Learning Engineer plays a critical role in improving the performance of Tri
Added 2 hours ago
WA
Data Scientist
Weekday AI
Remote, Canada
- ₹5,000,000 to ₹15,000,000 INR / year
- Full-time
- Remote
We are seeking experienced Data Scientists and Machine Learning Scientists currently working at leading technology companies. The ideal candidates will have a strong technical background in…
Added 2 hours ago
JM
Business Intelligence Specialist
JBT Marel
Invermay, SK
- Full-time
…assurance, finance, and leadership teams to turn operational data into actionable insights that improve manufacturing performance and support strategic…
Added 3 hours ago
M
RQ00748 -Systems Administrator/Operations Support Specialist - Intermediate
Maarut
Toronto, ON
- Contract
Added 4 hours ago
SO
Arctic bird data analyst and wildlife technician
Southwestern Ontario Field Unit, Parks Canada
Ottawa, ON
- Full-time
Added 4 hours ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Added 5 hours ago
CT
Databricks Data Engineer
Celebal Technologies
Ottawa, ON
- Contract
We are seeking a hands-on Lead Databricks Data Engineer to design, develop, and optimize enterprise-scale data pipelines and AI-ready data platforms using Databricks and AWS.
Added 5 hours ago
M
Staff Data Engineer
MeeruAI
Canada
- Full-time
…- and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A…
Added 7 hours ago
CU
Cybersecurity Analyst
Capilano University
North Vancouver, BC
- Full-time
Added 10 hours ago
C
Data Scientist, Model Performance Monitoring and Reporting
CIBC
Toronto, ON
- Full-time

Miratech

Senior Data Architect

Toronto, ON, Canada
North York, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Apr 24, 2027
Experience: 5+ years of hands-on experience with Databricks/Delta Lake and Snowflake or API-driven ingestion.
Posting language: English
Posted: Oct 26, 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, and a Kimball-style reporting model. Build and optimize Databricks 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 and Snowflake or API-driven ingestion experience. Candidates should have deep dimensional modeling and data integrity expertise, strong SQL and Python/PySpark skills, experience with high-volume pipelines and orchestration, and the ability to communicate architectural trade-offs.

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 Integrity and Reconciliation
Data Pipeline Orchestration
SQL Server
Genesys Cloud

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

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
Data Ingestion
Incremental Loading
Data Reconciliation
Data Integrity
Schema Drift
Pipeline Orchestration
Lakehouse
Data Warehouse
Parallel-Run Migration
Contact Center Analytics

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