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# Enterprise Data Layer Engineer - Executive...

- **Company:** SMBC, L.C.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $225,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Information Systems, Data Architecture, Data Governance, Electronic Data Interchange (EDI), Protocol Buffers, JSON, Meta-Data Management, Enterprise Data Management, Istio, Apache Spark, Spring-boot, Change Data Capture, Data Strategy, Togaf, Event Driven Architecture, Containerization, Data Lakes, Kubernetes, Information Technology, Avro, ISO 20022 Standard, Enterprise Integration, Apache Kafka, Api Gateway, FpML, Databricks
- **Published:** August 4, 2026
- **Apply:** https://www.juju.com/job/00000000glmqch

## About the Role

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

## 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


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