Enterprise Data Layer Engineer - Executive Director

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