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
Role Requirements:- Strong hands-on Collibra implementation experience
- Experience with Collibra Data Quality
- Experience with Collibra Data Intelligence Platform
- Hands-on Databricks experience
- Strong SQL for profiling, validation, reconciliation, and troubleshooting
- Experience personally building and configuring data-quality rules
- Ability to translate requirements into executable data-quality controls
- Experience with data profiling, anomaly investigation, and rule testing
- Understanding of critical data elements and data-quality dimensions
- Experience partnering with data owners, data stewards, developers, engineers, and analysts
- QA and UAT experience related to data-quality implementations
- Understanding of enterprise data governance, metadata, master data, reference data, and lineage
- Ability to work effectively in a technical, customized governance environment
- Ability to work onsite in Charlotte three days per week
PREFERRED EXPERIENCE- Python
- Cybersecurity, cyber-risk, or technology-risk data
- Financial-services or regulated-industry experience
- Data-lakehouse experience
- Data-lineage and metadata-management experience
- Experience developing customized functionality around governance platforms
- Experience supporting a federated data-governance model