Enterprise Data Layer Engineer - Executive Director

Job description

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, 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. The anticipated salary range for this role is between $225,000.00 and $255,000.00. The specific salary offered to an applicant will be based on their individual qualifications, experiences, and an analysis of the current compensation paid in their geography and the market for similar roles at the time of hire. The role may also be eligible for an annual discretionary incentive award. In addition to cash compensation, SMBC offers a competitive portfolio of benefits to its employees. Role Description Lead enterprise data layer engineer for a strategic Front-to-Back transformation program. Define the enterprise canonical data model, integration standards, event schemas, API standards, and connectivity patterns to simplify over 100+ system integrations across Front Office, Risk, Finance, Operations, Treasury, Compliance, and Regulatory Reporting.This role owns the enterprise data layer, data strategy, event taxonomy, and integration governance while ensuring scalable, reusable, and consistent data exchange across the organization. Role Objectives Enterprise Data Strategy • Define enterprise canonical data architecture • Drive adoption of ISDA CDM and enterprise data standards • Establish enterprise business glossary and semantic consistency • Define golden sources and system-of-record strategy • Standardize data ownership and stewardship Event-Driven Integration Design and govern: • Kafka topic taxonomy • Event contracts and schemas • Schema Registry governance • Event versioning strategy • Replay and recovery standards • Dead-letter queue (DLQ) strategy • Event enrichment and routing Integration Patterns Establish reusable patterns for: • Real-time event streaming • Synchronous REST APIs • Asynchronous messaging • Change Data Capture (CDC) • Batch integration • File-based transfers • Request/Reply messaging • Publish/Subscribe • Event Notification • Command messaging Canonical Data Model Lead implementation of: • Trade events • Position events • Market data events • Reference data • Counterparty data • Settlement events • Cash events • Collateral events • Margin events Qualifications and Skills Experience • 15+ years in enterprise architecture, data architecture, or integration engineering • 10+ years in capital markets or investment banking • Proven leadership of large-scale transformation programs • Experience defining enterprise-wide data models and integration standards • Deep understanding of Front-to-Back trade lifecycles across multiple asset classes • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline • Master's degree (preferred) • Industry certifications in cloud, enterprise architecture (e.g., TOGAF), or data architecture are advantageous Technical Expertise • Apache Kafka / AWS MSK • Event-Driven Architecture (EDA) • Java and Spring Boot • REST and asynchronous APIs • AWS cloud services • Azure Databricks, Delta Lake, and Spark • Schema Registry (Avro/Protobuf/JSON Schema) • Change Data Capture • Kubernetes and container platforms • Canonical Data Models (especially ISDA CDM) • API gateways and service mesh • Data governance, metadata management, and lineage tools Preferred Domain Expertise • Multi-asset trading (Rates, FX, Credit, Equities, Fixed Income) • Trade capture, confirmations, clearing, settlements, collateral, margin, risk, finance, and regulatory reporting • Knowledge of industry standards such as ISDA CDM, FpML, FIX, and ISO 20022 • Experience implementing enterprise streaming platforms that connect Front Office through Operations and Finance in real time 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. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required. 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 .