A global financial-services organization is expanding its data-quality and governance capabilities within a growing cybersecurity data environment.
This hands-on implementation role will help establish stronger controls over how critical security and risk data is defined, validated, monitored, and governed across a data lakehouse. The specialist will work with data owners, stewards, engineers, analysts, and governance stakeholders to convert business requirements into functioning data-quality rules and technical controls.
This is not a high-level governance-policy position. The successful candidate must be comfortable configuring Collibra, working in Databricks, writing SQL, testing rules, and investigating data problems directly.
RESPONSIBILITIES
Design, configure, implement, and monitor enterprise data-quality rules in Collibra
Work hands-on with Collibra Data Quality and Collibra Data Intelligence Platform
Partner with data owners and stewards to identify critical data elements
Translate business and governance requirements into measurable technical controls
Profile datasets for completeness, consistency, validity, and accuracy
Use SQL to validate rules, reconcile datasets, investigate anomalies, and troubleshoot failures
Work with Databricks-based cybersecurity and risk datasets
Test data-quality logic through QA and UAT processes
Create and maintain test cases, test plans, scripts, rule inventories, and validation documentation
Investigate false positives and unexpected rule results
Monitor data-quality coverage and control effectiveness
Support data lineage, metadata, master-data, and reference-data practices
Help mature the broader cybersecurity data-governance program
Contribute to customized governance and data-quality solutions