Senior Data Architect
Core
Design end-to-end data platform for contact centre telephony and quality data, delivering Bronze/Silver/Gold Medallion architecture on Databricks into a Kimball-style reporting layer.
Role type
Senior Data Architect (Data Platform & Warehouse)
Builds
Bronze/Silver/Gold data flows, Kimball star schemas, Databricks/Delta Lake pipelines, and reporting layers for sales, telephony, agent activity, and quality.
Domain
Contact Centre / Telephony / Data Engineering
Required skills
Dimensional modeling (Kimball), Medallion architecture, Delta Lake, T-SQL, Spark SQL, Python/PySpark, Data orchestration, Data integrity patterns, API ingestion, Snowflake, Azure Data Factory
Preferred skills
Genesys Cloud, Verint, Contact centre domain knowledge, Parallel-run migration strategies, Enterprise schedulers (AutoSys)
Technologies
Databricks, Delta Lake, Snowflake, Azure Data Factory, T-SQL, Spark SQL, Python, PySpark, Genesys A3S, Verint
Responsibilities
Design Bronze/Silver/Gold data flow and ingestion strategies; Define ingestion cadence and watermarking; Design Gold-layer Kimball star schema; Build and optimize Databricks/Delta Lake pipelines; Design API ingestion handling pagination and rate limits; Define data integrity checks and failure-recovery patterns; Write production-grade transformation logic; Document architecture decisions; Partner with pipeline teams on migration and decommissioning.
Seniority
Senior, hands-on IC