Jobs in Vaughan

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Within 25 km of Vaughan

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K&K Global Talent Solutions INC.

Data Architect / Technical Architect

Toronto, ON, Canada

Full-time

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Full-time
Apply by: Dec 5, 2026
Experience: 10+ years of Data Architecture/Data Warehousing experience.
Posted: Nov 5, 2026

Original job description

Position: Data Architect / Technical Architect

Location: Toronto, ON (Hybrid)

Employment Type: Full Time

Experience Required: 10 + Years

Role Summary:

We are hiring a Data Architect /Technical Architect to lead the design and implementation of an enterprise-scale data platform using Databricks, Delta Lake, Snowflake, Azure, and SQL Server. The ideal candidate will have strong expertise in Data Warehousing, Kimball Modeling, Medallion Architecture, and large-scale data integration.

Key Responsibilities:

Design and implement Bronze, Silver, Gold (Medallion) data architecture.
Create scalable Fact & Dimension models, Star Schemas, and SCD Type I/II solutions.
Develop ingestion frameworks for Snowflake, APIs, flat files, and vendor data sources.
Establish data quality, audit, reconciliation, watermarking, and recovery strategies.
Optimize Databricks/Delta Lake solutions for performance, scalability, and cost efficiency.
Collaborate with business and engineering teams to deliver reporting and analytics solutions.

Required Skills:

10+ years of Data Architecture/Data Warehousing experience.
Strong hands-on experience with Databricks, Delta Lake, PySpark, Spark SQL, and T-SQL.
Expertise in Kimball Dimensional Modeling, Star Schema Design, Fact & Dimension Modeling.
Experience with Snowflake, SQL Server, Azure Data Factory (ADF), Azure SQL, and REST APIs.
Strong knowledge of data integrity, validation, reconciliation, and batch processing.
Experience building high-volume data pipelines and modern analytics platforms.

Preferred Skills:

Experience with Genesys Cloud, Verint, Contact Center Analytics, or Telephony Data.
Knowledge of enterprise migration and parallel-run strategies.

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More about this job

Responsibilities

Design and implement an enterprise-scale Medallion data platform, including scalable fact and dimension models, ingestion frameworks, and data quality, audit, reconciliation, watermarking, and recovery strategies. Optimize Databricks and Delta Lake solutions for performance, scalability, and cost, and collaborate with business and engineering teams to deliver reporting and analytics.

Requirements

Requires 10+ years of data architecture or data warehousing experience, with hands-on expertise in Databricks, Delta Lake, PySpark, Spark SQL, and T-SQL. Candidates should also have experience with dimensional modeling, Snowflake, SQL Server, Azure data services, REST APIs, high-volume pipelines, and data validation; contact center data and migration strategies are preferred.

Skills

Data Architecture
Data Warehousing
Databricks
Delta Lake
PySpark
Spark SQL
T-SQL
Kimball Dimensional Modeling
Star Schema Design
Snowflake
SQL Server
Azure Data Factory
Azure SQL
REST APIs
Data Integration
Medallion Architecture

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Technical Architecture
Data Warehousing
Databricks
Delta Lake
Snowflake
Azure
SQL Server
Kimball Modeling
Medallion Architecture
Bronze-Silver-Gold Architecture
Dimensional Modeling
Star Schema
Fact and Dimension Modeling
SCD Type I and II
PySpark
Spark SQL
T-SQL
Azure Data Factory
Azure SQL
REST APIs
Data Ingestion
Data Quality
Data Integrity
Reconciliation
Batch Processing
High-Volume Data Pipelines
Contact Center Analytics
Genesys Cloud
Verint

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