Senior Data Architect - Contact Centre Data Platform

About the role

Miratech is 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 feeds, and delivers it through a Bronze/Silver/Gold (Medallion) architecture on Databricks into a Kimball-style reporting layer. The role suits a hands-on architect who can turn complex reporting requirements into robust, auditable data solutions and explain architectural trade-offs to engineers and business stakeholders. It is a hybrid position with two days per week in a downtown Toronto office.

Key responsibilities

• Design the Bronze/Silver/Gold data flow for Genesys A3S Snowflake and Verint sources, with standards for ingestion, transformation, validation and consumption.
• Define ingestion cadence and watermarking strategy per source, and build and optimize Databricks and Delta Lake pipelines with cost and performance practices.
• Design the Gold-layer Kimball star schema (facts, dimensions, grain, SCD Type I/II) for sales, telephony, agent activity and quality reporting.
• Choose between pure lakehouse and hybrid lakehouse-to-data-warehouse patterns, and integrate external Snowflake, flat-file, SFTP and REST API feeds.
• Define data integrity checks, batch control, idempotency and failure recovery, and orchestrate with Azure Data Factory, Databricks Workflows or equivalent.
• Write and review production-grade transformation logic in T-SQL, Spark SQL and Python/PySpark, and document architecture decisions.
• Partner with the existing CCARS pipeline team on parallel-run validation, cutover planning and decommissioning of legacy pipelines.

Required profile

• 10+ years designing data warehouse and lakehouse solutions, 5+ years hands-on with Databricks/Delta Lake and Snowflake or API-driven ingestion.
• Deep dimensional modeling expertise (Kimball star schema, SCD Type I/II) and proven Medallion architecture experience.
• Track record enforcing data integrity across pipelines (reconciliation, checksums, schema drift detection).
• Nice to have: Genesys Cloud/A3S or Verint experience, contact centre domain knowledge, parallel-run migration experience, and AutoSys.

Required skills

• Databricks, Delta Lake, Snowflake, Azure Data Factory, Azure SQL Managed Instance, Azure Key Vault
• T-SQL, Spark SQL, Python/PySpark
• REST API consumption at scale, high-volume pipelines (millions of records per day)

What we offer

• Health insurance and a relocation program
• Remote work flexibility
• Certification programs, mentorship, internal mobility and internship opportunities