Enterprise Data Layer Engineer - Executive Director
Sumitomo Mitsui Banking CorporationAbout the role
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)
•
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s