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 robust 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.

📌 Data Architect / Technical Architect (Toronto)
🏢 Ku0026K Global Talent Solutions
📍 Toronto