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Bilingual Senior Manager, Data Operations
CMHC - SCHL
Ottawa, ON · Montreal, QC
Data platform: Azure Data Factory, Azure Databricks with Unity Catalog, Azure Data Lake Storage (ADLS), Azure SQL.
Senior Specialist, Data Modeler – OT & Industrial Automation
Vale
Greater Sudbury, Ontario
Full-time
Design models compatible with platforms such as Azure Data Services, Data Lakes, Databricks, SQL Server, SAP Datasphere, and Power BI
Data Support Senior Consultant
KPMG Canada
Toronto, ON
Full-time
…and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Data Support Senior Consultant
KPMG Canada
Vaughan, ON
Full-time
…and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Data Support Senior Consultant
KPMG Canada
Regina, SK
Full-time
…and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Data Support Senior Consultant
KPMG Canada
Edmonton, AB
Full-time
…and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Data Support Senior Consultant
KPMG Canada
Calgary, AB
Full-time
…and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Data Support Senior Consultant
KPMG Canada
Toronto, ON
Full-time
…and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Data Support Senior Consultant
KPMG Canada
Vancouver, BC
Full-time
…and data capabilities such as Alteryx, SQL, Python, PySpark, Azure Data Factory, Databricks, Microsoft Fabric, Azure Data Lake Storage, Power BI and other Azure…
Senior Data Engineer
TekRek
Canada
Full-time
Hands-on experience with modern lake and warehouse technologies such as Databricks, Snowflake, Redshift, or Synapse, plus working knowledge of AWS or Azure.
Added 1 day ago
AI Software Senior Analyst
Bombardier
Pointe-Claire, QC
Full-time
You have experience with cloud platforms, preferably Microsoft Azure, including Azure Databricks, Azure Machine Learning, AI Foundry, App Services, AKS, and Blob Storage.
Principal Data Engineer
Vancouver Coastal Health
Vancouver, British Columbia
$55.27 to $79.45 CAD / hour
Full-time
As a senior technical leader, you will architect, build, and operationalize modern data products on Azure + Databricks, lead major migrations, and raise engineering velocity and quality…
Senior Data & AI Architect
SMS Equipment Inc.
Acheson, AB
Full-time
Strong expertise in modern data architectures, cloud-native platforms, and tools such as Microsoft Fabric, Azure AI, Azure Databricks, Azure Synapse Analytics, Power BI, and Copilot Studio.
Senior Visualization Professional
Capgemini
Toronto, ON
- Integrate Power BI with Azure Databricks, Fabric, SQL Server, Synapse, Snowflake, and other enterprise platforms.
Sr. Manager, AI, Innovation & Operation
McKesson
Montreal, QC · Mississauga, ON
Full-time
Drive adoption of modern data and AI platforms, including Azure AI Foundry, Snowflake, Databricks, and related cloud technologies.
Staff Engineer, Site Reliability Engineering
General Motors
Markham, ON
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…platforms reliable, observable, operable, and scalable. This is a senior technical leadership role for someone who can move comfortably between system-level design, production operations,…
Senior Manager, Advanced Analytics
MNP
Edmonton, AB · AB · NS
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Make an impact with MNP Digital as a Senior Manager, Advanced Analytics. You will be an integral part of the team responsible for leading and collaborating with the Business Intelligence…
Senior Manager, Advanced Analytics
MNP
Ottawa, ON · Toronto, ON
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Make an impact with MNP Digital as a Senior Manager, Advanced Analytics. You will be an integral part of the team responsible for leading and collaborating with the Business Intelligence…
Lead Data Engineer (Retail, Omnichannel)
Diligente Technologies
Canada
Contract
Build batch, near-real-time, and streaming pipelines using Databricks and Azure.
Added 4 hours ago
Lead Power BI Developer
ITC Infotech
Vancouver, BC
$120,000 to $140,000 CAD / year
Full-time
We are looking for a Senior / Lead Power BI Developer to design, develop, and optimize enterprise-grade dashboards and semantic models. The candidate will partner with business…
Power BI Lead
ITC Infotech
Vancouver, BC
$120,000 to $130,000 CAD / year
Full-time
We are looking for a Senior / Lead Power BI Developer to design, develop, and optimize enterprise-grade dashboards and semantic models. The candidate will partner with business…
Senior Data Technologist
Kal Tire
Vernon, BC
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Venture Studio Analyst - Onni Capital
Onni Group of Companies
Vancouver, BC
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Experience with tools such as Claude, Claude Code, Codex, Cursor, Linear, Slack, Databricks, Microsoft Azure, or similar platforms
Senior Data Architect
Apex Systems
Toronto, ON
$80 to $100 USD / hour
Full-time
Apex Systems is seeking a highly experienced Senior Data Architect to lead the design and implementation of a modern enterprise data platform supporting contact center analytics, workforce…
Azure Solution Architect
Tata Consultancy Services
Toronto, ON
$100,000 to $130,000 CAD / year
Full-time
Customer facing skills, Strong articulation skill which will allow to present Azure based solution and convince customer Senior Management personnel

Apex Systems

Senior Data Architect

Toronto, ON, Canada

Pay: $80 to $100 USD / hour
Job type: Full-time
Apply by: Oct 14, 2026

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

The Senior Data Architect will lead the design and implementation of a modern enterprise data platform using Databricks and Medallion architecture. They are responsible for architecting end-to-end data solutions, defining ingestion strategies, and ensuring data quality and governance across enterprise sources.

Requirements

Candidates must have 10+ years of experience in enterprise data warehouse and lakehouse solutions with deep expertise in Kimball modeling. Proficiency in Databricks, Delta Lake, Python, PySpark, and SQL is required to manage large-scale data integration and performance optimization.

Experience

10+ years

Working hours

40 hours per week

Work arrangement

Hybrid

Skills

Data architecture
Databricks
Delta lake
Kimball dimensional modeling
SQL
Python
PySpark
Azure data factory
Data ingestion
Medallion architecture
Data governance
Data quality
Star schema
Performance tuning
Cloud technologies

Benefits

Training program
Certification prep
Technical and leadership courses
Certification discounts

Visa sponsorship

Not detected in the job text

Keywords

Data Architect
Databricks
Delta Lake
Medallion Architecture
Kimball Modeling
Star Schema
Azure Data Factory
Python
PySpark
SQL
Data Ingestion
Data Governance
Genesys
Verint
Cloud Computing
ETL
Data Warehouse
Lakehouse
Performance Tuning
Data Quality
ACID Transactions
REST APIs
T-SQL
Spark SQL
Data Lineage

Original job description

Job#: 3051853

Job Description:

Senior Data Architect

Location: Hybrid Toronto
Job Type: Contract
Experience Level: Senior / Lead (10+ Years)

About The Role

Apex Systems is seeking a highly experienced Senior Data Architect to lead the design and implementation of a modern enterprise data platform supporting contact center analytics, workforce management, and operational reporting. This role will be responsible for architecting end-to-end data solutions that ingest data from Genesys A3S Snowflake environments, Verint workforce management platforms, and other enterprise sources into a scalable Databricks Lakehouse architecture leveraging Bronze, Silver, and Gold data layers.
The ideal candidate brings deep expertise in dimensional modeling, Databricks, SQL, and large-scale data integration, with a proven ability to design highly resilient, auditable, and performance-optimized data platforms.

Key Responsibilities

Data Architecture & Strategy

Design and implement enterprise-scale data architectures utilizing Medallion (Bronze, Silver, Gold) patterns.
Define data ingestion, transformation, storage, and reporting strategies across multiple source systems.
Architect a Kimball-based dimensional reporting layer including fact and dimension models.
Establish scalable standards for data governance, integrity, lineage, and auditing.
Document technical decisions, architecture patterns, and trade-offs for technical and business stakeholders.

Data Platform Development

Design ingestion frameworks for:

Genesys A3S Snowflake data sources
Verint workforce management feeds
REST APIs
SFTP and flat-file integrations

Develop strategies for incremental loading, watermarking, change tracking, and idempotent processing.
Define data freshness requirements and ingestion cadences across source systems.
Design solutions that support both operational and analytical workloads.

Databricks & Lakehouse Leadership

Lead architecture and design of Databricks and Delta Lake environments.
Build scalable Bronze, Silver, and Gold transformation frameworks.
Optimize performance through:

Cluster sizing strategies
Photon optimization
Delta Lake maintenance
Partitioning strategies
Z-ordering
Cost optimization techniques

Establish best practices for workload orchestration and monitoring.

Data Quality & Governance

Design and implement validation frameworks including:

Row count reconciliation
Checksum validation
Referential integrity enforcement
Duplicate detection
Late-arriving data management

Define controls for schema drift detection and upstream vendor changes.
Create audit frameworks that support operational transparency and compliance requirements.

Collaboration & Stakeholder Engagement

Partner closely with engineering teams, analytics teams, business stakeholders, and third-party vendors.
Support parallel-run migration activities between legacy and future-state platforms.
Guide development teams on architecture standards and implementation approaches.
Act as the subject matter expert for enterprise data architecture initiatives.

Required Qualifications

Data Architecture & Modeling

10+ years of experience designing enterprise data warehouse and lakehouse solutions.
Deep expertise in:

Kimball dimensional modeling
Star schema design
Fact and dimension modeling
Grain definition
Slowly Changing Dimensions (Type I and II)

Strong experience designing Medallion data architectures.

Databricks & Delta Lake

5+ years of hands-on Databricks experience.
Expert knowledge of:

Delta Lake
Delta Tables
ACID transactions
Optimize and Vacuum operations
Medallion architecture implementation
Performance tuning and workload optimization

SQL & Databases

Expert-level proficiency in:

T-SQL
Spark SQL
Query tuning
Window functions
Advanced joins
Partitioning strategies

Strong experience with SQL Server architecture and optimization.
Deep understanding of OLTP versus OLAP design methodologies.

Data Integration & Engineering

Experience designing and implementing large-scale data ingestion frameworks.
Advanced knowledge of:

REST APIs
Pagination and rate limiting
Asynchronous processing patterns
High-volume data pipelines
Incremental data loading

Programming & Cloud Technologies

Strong hands-on experience with:

Python
PySpark
Azure Data Factory
Databricks Workflows
Azure SQL Managed Instance
Azure Key Vault

Experience with enterprise scheduling and orchestration tools.

Data Quality & Integrity

Proven track record implementing enterprise-grade:

Reconciliation processes
Data validation frameworks
Audit controls
Data lineage solutions
Schema drift monitoring

Preferred Qualifications

Experience working with Genesys Cloud or Genesys A3S data platforms.
Experience with Verint workforce management and quality monitoring data.
Contact center and telephony domain expertise, including:

Call Detail Records (CDRs)
Agent performance analytics
IVR and routing data
Quality evaluation metrics

Experience supporting large-scale migration and parallel-run initiatives.
Familiarity with sales analytics and workforce reporting environments.

Success Metrics

Within this role, you will successfully:
Design a scalable Bronze/Silver/Gold architecture for Genesys and Verint integrations.
Deliver robust ingestion frameworks with reliable watermarking and recovery mechanisms.
Implement Gold-layer dimensional models supporting enterprise reporting and analytics.
Establish data quality processes that ensure accuracy, reliability, and auditability.
Partner effectively with stakeholders throughout migration, parallel-run, and platform modernization initiatives.

Apex pay scales are determined by role, experience, skill set, and location. For this new position, the estimated hourly range is provided below as a guideline; however, total compensation may vary based on individual circumstances.

Hourly Range: $80.00/hr.-$100.00/hr.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Everforth Apex Benefits Overview: In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.

© 2026 Everforth, Inc. All rights reserved.

Everforth Apex Systems is part of the Commercial Segment of Everforth, Inc.

NYSE: EFOR

4400 Cox Road

Suite 200

Glen Allen, Virginia 23060

Everforth Apex is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Benefits Department at [email protected] or 804-523-8228. (Do not submit resumes or solicit consultants to this email address). UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex.

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