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Serve as an independent QA / Quality Review (QR) resource providing effective challenge over the Enterprise Data Mart build on Databricks. The role focuses on validating data mappings, transformation logic, and end-to-end data integrity prior to Lending and Retail LOB consumption. Merger between two large financial entities - work to be completed March 2027 and beyond
Job Responsibility:
Review source-to-target mappings, data models, and transformation logic for completeness, accuracy, and alignment to business intent
Execute SQL-based validation and reconciliation across source, curated, and consumption layers
Perform completeness, accuracy, reasonableness, and threshold checks on critical data elements
Identify data gaps, anomalies, undocumented assumptions, and logic defects
document findings clearly
Partner with data engineers and product owners to remediate issues prior to release
Support go-live readiness decisions for Lending and Retail data products
Requirements:
Strong hands-on SQL experience (ability to independently query, reconcile, and validate large datasets)
Experience reviewing data mappings, transformation rules, and data pipelines (Databricks / Spark-based environments preferred)
Familiarity with financial services data (Lending, Retail Banking, or Enterprise data domains)
Ability to operate independently and challenge constructively without slowing delivery