Jobs in Canada

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Chef(fe) d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Montréal, QC
- Full-time
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Principal Embedded Engineer, AI Solutions
Autodesk
BC · ON
- $131,000 to $191,400 CAD / year
- Full-time
- On-site
Lead co-innovation with customers to find high-value workflows, decision bottlenecks, data requirements, and integration opportunities, turning ambiguous business challenges into clear…
Added 1 day ago
Supportability Technical Lead, Billing, Google Cloud
Google
Waterloo, ON
Proficiency in coding, debugging, or system design with general-purpose programming languages (e.g., Java, C, C++, Python, Go, Shell, JavaScript, Perl, .NET) and core web technologies,…
Added 1 day ago
Senior Technical Solutions Manager, Billing, Google Cloud
Google
Waterloo, ON
Experience with web technologies (HTTP, HTML, DNS, TCP), experience reading code in a general-purpose language (e.g., Java, Python, Go) or system design, AI-assisted coding/debugging.
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Senior Data Architect
Miratech
ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Lead, Geospatial Platform Operations
City Of Edmonton
Edmonton, AB
- $59.21 to $75.46 CAD / hour
…driving digital innovation and leading high performing teams? The Lead, Geospatial Platform Operations is a senior technical leadership role within the Enterprise Geospatial Technology…
Added 1 day ago
RC
Programmer Analyst, Peoplesoft Security
Randstad Canada
Toronto, ON
- $88,312.58 to $102,378.48 CAD / year
- Full-time
…units such as HR and Finance. Operating in Toronto, you will lead the architecture, implementation, and maintenance of robust security models, user provisioning frameworks, and role-based…
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Enterprise AI Engineer
Altis
Toronto, ON
- $110,000 to $125,000 CAD / year
- Full-time
…renewable energy sector is seeking an Enterprise AI Engineer to lead AI adoption, development, and governance while helping shape a more sustainable…
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RC
Senior Report Developer
Randstad Canada
Toronto, ON
- Contract
Assignment Type: Onsite (5 days per week)
Added 1 day ago
DC
Co-op Supply Chain Systems Analyst
Dometic Corporation
Richmond, BC
- $23.5 to $27.5 CAD / hour
- Full-time
…boat building industry, and we recently expanded our scope to lead the boating industry into an electrified future. Dometic has won numerous NMMA Innovation Awards over the years, and we…
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Business Analyst-Credit Cards
BeachHead
Toronto, ON
- $68.84 to $82.61 CAD / hour
- Contract
Lead analytics engagements supporting credit card product performance, portfolio management, customer insights, pricing, campaigns, acquisition, and retention.
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Platform Engineering Manager – GCP/Kubernetes , Toronto
TalentWorld
Toronto, ON
- $80 to $90 CAD / hour
- Temporary
On-site in the Greater Toronto Area, 4 days per week · Schedule: Full-time, on-site 4 days per week; start as soon as possible
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Senior Java Developer (with LLM expertise)
Miratech
Mississauga, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Senior Java Developer (with LLM expertise)
Miratech
Markham, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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M
Senior Java Developer (with LLM expertise)
Miratech
Vaughan, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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M
Senior Java Developer (with LLM expertise)
Miratech
Brampton, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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M
Senior Java Developer (with LLM expertise)
Miratech
Richmond Hill, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Senior Java Developer (with LLM expertise)
Miratech
Kitchener, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Senior Java Developer (with LLM expertise)
Miratech
Ottawa, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Senior Java Developer (with LLM expertise)
Miratech
Hamilton, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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M
Senior Java Developer (with LLM expertise)
Miratech
London, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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Senior Java Developer (with LLM expertise)
Miratech
Calgary, AB
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
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M
Senior Java Developer (with LLM expertise)
Miratech
Edmonton, AB
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 1 day ago
M
Senior Java Developer (with LLM expertise)
Miratech
Ottawa, ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 1 day ago
QT
Manual Tester
Quvox Technologies LLC
Vancouver, BC
- Full-time
- On-site
Individual contributor who will work as technical lead with development, product management for technical features discussions, architecting the test coverage based on technical…

Miratech

Senior Data Architect

ON, Canada

Hybrid

Full-time

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Job details

Job type: Full-time
Workplace: Hybrid
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

Company 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 on jobs.smartrecruiters.com About employer

More about this job

Responsibilities

The Senior Data Architect at Miratech will design the Bronze/Silver/Gold data flow, define ingestion schedules and the reporting data model, and build and tune Databricks pipelines. They will also work with the existing CCARS team on parallel running and retiring the legacy pipelines.

Requirements

Candidates need 10+ years designing data warehouse and lakehouse solutions and 5+ years with Databricks, Delta Lake and Snowflake or API ingestion. Deep Kimball dimensional modeling, expert T-SQL and Spark SQL, and strong communication skills are essential.

Skills

Databricks
Delta Lake
Snowflake
Medallion architecture
Kimball star schema
Dimensional modeling
Data warehouse design
T-SQL
Spark SQL
PySpark
Python
Azure Data Factory
Databricks Workflows
Genesys Cloud
Genesys A3S
Verint
REST API ingestion
SFTP
SQL Server
Azure SQL Managed Instance
Azure Key Vault
Photon
Z-ordering
OPTIMIZE and VACUUM
Data integrity

Benefits

Health insurance
Relocation program
Certification programs
Internal mobility
Team-building social events

Keywords

Senior Data Architect
Data Architect
Databricks
Delta Lake
Snowflake
Medallion architecture
Bronze Silver Gold
Kimball
star schema
dimensional modeling
SCD Type I
SCD Type II
T-SQL
Spark SQL
PySpark
Python
Azure Data Factory
Databricks Workflows
Genesys Cloud
Genesys A3S

Seniority

Senior

Perks

Relocation support

Tools

Databricks
Delta Lake
Snowflake
Azure Data Factory
Verint WFM
Genesys A3S
SQL Server
Azure Key Vault
AutoSys

Languages

English

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Work requirements

Jobs in Canada