Role Overview
SMBC is seeking a Senior Data Quality Developer who has a strong passion for designing, implementing, and maintaining enterprise Data Quality (DQ) rules to support regulatory reporting, risk management, and compliance within a banking environment. The position requires strong domain expertise, hands‑on experience with Collibra Data Governance and Collibra Data Quality, and advanced SQL skills to deliver scalable, auditable, and reliable data quality controls.
This role will report to the Director of Database Management.
Hybrid: The successful candidate is expected to attend the Tralee office.
Role Objectives
Design, develop, and maintain Data Quality rules in Collibra Data Quality across key data quality dimensions, including completeness, accuracy, validity, consistency, timeliness, and uniqueness.
Develop, optimize, and maintain advanced SQL to support data quality validations across large and complex datasets.
Own the end‑to‑end Data Quality rule lifecycle, including requirements analysis, rule design, development, unit testing, deployment, monitoring, and ongoing maintenance.
Analyze rule execution results, investigate exceptions, perform root‑cause analysis, and proactively drive issues to resolution.
Collaborate closely with Regulatory Reporting, Risk, Compliance, Data Governance, and Technology teams to ensure alignment with business and regulatory requirements.
Participate in the migration of existing Data Quality rules from legacy DQ frameworks or platforms to Collibra Data Quality (CDQ), ensuring functional equivalence and adherence to governance standards.
Support rule output reconciliation processes to compare and validate results between legacy DQ solutions and CDQ, ensuring accuracy, completeness, and regulatory consistency during and after migration.
Qualifications and Skills
Strong experience in data quality rule development within the banking or financial services industry.
Prior understanding of regulatory and risk reporting, including FR Y‑9C, FR 2052a, CECL, RWA, Compliance, Risk, etc.
Prior understanding of KDE, DQ Controls / Business Specification, Manual Data Controls, etc.
Extensive hands‑on experience with Collibra Data Governance and Collibra Data Quality.
Advanced SQL expertise (complex joins, window functions, performance tuning).
Strong understanding of data quality frameworks and dimensions.
Excellent communication skills with the ability to work across technical and business teams.
Experience working in Agile delivery environments, using tools such as Jira.
Hands‑on experience working with data platforms such as Oracle, SQL Server, Denodo, Databricks, or similar technologies.
Experience with DevOps and CI/CD tools, including GitHub or Bitbucket, Jenkins, and artifact repositories (PyPI or Maven).
Experience working with API integration tools like Azure Logic Apps.
Strong verbal and written communication skills.
Self‑motivated and disciplined approach to learning and working.
Team‑oriented with demonstrated leadership skills when needed.
Highly developed sense of personal accountability and follow‑through, with the ability to prioritize multiple tasks, projects, and goals.
Intermediate experience with Python for data analysis, automation, or rule support activities.
Intermediate proficiency in Microsoft Excel, including data analysis and reconciliation support.
Familiarity with enterprise scheduling tools such as Tivoli Workload Scheduler (TWS) or equivalent.
Experience using Power BI for reporting, analysis, or data quality insights.
General understanding of Azure cloud concepts and data services.
Additional Requirements
SMBC’s employees participate in a hybrid workforce model that allows working from home as well as from an SMBC office. Employees must reside within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during the interview process.
#J-18808-Ljbffr