SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG’s shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Ireland, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization’s extensive global network. The Group’s operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

This is a hybrid role, requiring the successful candidate to attend our Tralee office.

Role Description

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 Senior Data Quality Developer will require 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.

Role Objectives: Delivery

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.
Have strong verbal and written communication skills.
Ability to demonstrate a self-motivated and disciplined approach to learning and working.
Ability to work in a team environment and demonstrate leadership skills when needed.
Possess a highly developed sense of personal accountability and follow-through with an ability to effectively prioritize multiple personal 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 provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

Data Quality Developer

Job Description