Senior Enterprise Data Matching Specialist
3 weeks ago
At the Commonwealth Bank of Australia, we're seeking a highly skilled Senior Enterprise Data Matching Specialist to join our Financial Crimes division.
This is a key role in delivering technology products and services that meet the highest standards of quality, security, and timely delivery.
The successful candidate will contribute to business-driven projects and programs expanding and enhancing customer master data management (CMDM) Core Platform.
- Architectural Design: Develop comprehensive design and architecture documents detailing the matching technology stack.
- Matching Rules Documentation: Create detailed documentation of matching rules and logic implemented within Co>Relate and Express>IT.
- Data Stewardship Workflow Diagrams: Design process flows and workflow diagrams for data stewardship tasks, outlining exception handling and data conflict resolution procedures.
- Semantic Data Discovery Reports: Produce reports on data classification and metadata management, detailing how Semantic Data Discovery has been utilized to enhance data matching accuracy.
- Data Publishing Strategy: Develop a detailed plan for publishing matched customer data to downstream systems, ensuring integration and consistency across the enterprise.
- Monitoring and Logging Framework: Create a comprehensive monitoring and logging framework document, including setup, configuration, and best practices for ongoing operations.
- Data Quality Assurance Reports: Generate reports on data quality assessments, rule enforcement, and ongoing data stewardship activities.
We are looking for someone who can engage with business stakeholders to consult and requirement gather across various strategic initiatives. The ideal candidate will also be able to implement plans whilst ensuring appropriate documentation, partner with internal stakeholders and vendor teams to positively influence outcomes, provide technical documentation and guidance to support quality, security and timely delivery of project initiatives, identify and recommend solutions to business or technical problems and support recommendations for endorsement in stakeholder forums, and stay abreast of emerging technology, future developments, opportunities and risks in relation to batch and real-time ingestion, matching and its impact on the Group strategic objectives.
Required Skills:
We use a broad range of tools, languages, and frameworks. We don't expect you to know them all but experience or exposure with some of these (or equivalents) will set you up for success in this team;
- Success in designing and delivering complex, enterprise grade, highly scalable solutions for real time PII data in the cloud
- Competence in Ab Initio, Express>IT, Active>Data Cluster, Co>Relate
- Ability to architect and guide engineers in implementing sophisticated matching logic and rules using Co>Relate and Express>IT matching rules manager to accurately identify and reconcile duplicate records.
- Knowledge of event-driven system technologies such as Kafka.
- Confident working with at least one cloud provider, AWS preferred.
- Comprehensive understanding and adherence to cyber security best-practice principles.
- Clear, effective communication and stakeholder management skills.
Salary Estimate: $120,000 - $180,000 per annum.
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