Title: Enterprise Storage Engineer Job Description: Job Level: Vice President Location: Charlotte, NC, US, 28202 Employment Type: Full Time Requisition ID: 7596 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. Role Description JRI-America, the technology subsidiary of Sumitomo Mitsui Banking Corporation (SMBC), requires a Storage Technologies Administrator to assist in the management on premises and cloud data storage. You will be part of a cross-functional team based in North America (NYC, NJ) supporting global application implementation, maintenance, and troubleshooting. The role requires some off-shift evening and weekend work as part of an on-call and skill-based rotation within a hybrid on-site and remote workplace design. Emergency response may occur beyond assigned hours. Role Objectives • Installation, configuration, maintenance, and troubleshooting of infrastructure supporting on-premises and cloud-based applications, focused on data storage related components. • Working with other system administrators to support the entire storage I/O stack across platforms, applications, and levels of virtualization. • Capacity Planning and Performance Analysis • KTLO and project tasks for installations and upgrades • Data protection, risk mitigation and design of self-service tasks • Consolidated Reporting & Analytics • Process Automation wherever possible. • Other tasks as assigned Qualifications and Skills • Experience with any of the elements in our technology portfolio below • A desire to refine and enhance your present skills • Ability to identify, manage and mitigate risk • Ability to overcome technical challenges on your own or with vendor assistance • Good communication skills both verbal and written • Proactive and capable of owning an issue to completion • Ability to manage your own time with minimal oversight Our technology mix includes • Cloud Computing (Azure, AWS) • Storage Platforms (VMAX, PowerMax, Unity PowerStore, Isilon/PowerScale, ECS, VPLEX, NetApp, IBM COS, Storworks, Spectralogic, Data Domain, Azure, S3) • Container (Kubernetes, Openshift ) • Operating systems (Windows, Red Hat Linux, AIX, HP-UX, VMware) • Ransomware prevention and remediation (Rubrik Security Cloud) • Process Automation (Ansible, Python, Rest API, JSON, Dell Appsync, ServiceNow, shell scripts, Terraform, VMware vRealize, Solutions Enabler) • Data Protection including snapshots, replication, and backups (Rubrik, TSM) • Full stack performance analysis (LogicMonitor, Virtual Wisdom, EG) • Replication (SRDF, SnapMirror, SyncIQ) • Reporting, Capacity management and forecasting (VIPR SRM, PowerBI, Arxview) • Monitoring (Virtual Wisdom, Vipr SRM, ServiceNow, Tivoli, Dell CloudIQ, NetApp ActiveIQ, Solutions Enabler) • Storage Area Networks (Cisco MDS, DCNM, Powerpath) • SAN and NAS storage protocols (Fiber Channel, CIFS, NFS) • Virtualization and Converged Infrastructure (VXBlock, VxRail, IBM PowerVM, Cisco UCS, PowerFlex) • Report Design and Generation (PowerBI, Virtual Wisdom) • Help Desk response (ServiceNow) • Project Management (Microsoft Project) • Database (Oracle, SQL) • Security Toolsets • Task and Knowledge Management (SharePoint, ServiceNow, Confluence, JIRA) • Machine learning • Technology Recovery and Resiliency, Workload Mobility 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.

Title: VP, Data Engineer Location: Charlotte United States 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. Role Description Role Overview We are seeking an experienced Vice President - Data Engineer with 10-15 years of hands‑on experience to lead the design, development, and optimization of scalable, cloud‑native data platforms. This role requires deep technical expertise in Azure, Databricks, PySpark, Python, and SQL, supporting enterprise data pipelines for regulatory, compliance, and analytics workloads. The ideal candidate will operate at both strategic and hands‑on levels, delivering reliable, secure, and high‑performance data solutions in a highly regulated investment banking environment. Key Responsibilities - Own the architecture, design, and implementation of end‑to‑end ETL/ELT workflows using Azure Data Factory (ADF) and Azure Databricks for regulatory and compliance‑driven data ingestion and transformation. - Integrate, standardize, and normalize structured and unstructured data from multiple internal and external sources while enforcing strict data quality and governance controls. - Build secure, auditable, and high‑performance data pipelines supporting large‑scale, sensitive financial datasets. - Automate ingestion, transformation, and validation processes to enable near real‑time analytics and regulatory reporting. - Design and implement efficient storage formats, partitioning, and optimization strategies for fast data access and retrieval. - Utilize Databricks and Delta Lake for distributed processing, ACID‑compliant storage, versioning, and time‑travel capabilities. - Enforce data retention, archiving, and purging policies aligned with global regulatory and compliance requirements. - Drive the migration of legacy application logic into modern Azure Databricks, Data Lake, and SQL‑based architectures. - Maintain comprehensive data lineage, metadata management, and audit trails using Azure Purview or equivalent frameworks. - Partner with data governance, risk, and compliance teams to define data standards, access controls, and security requirements. - Implement and manage CI/CD pipelines using GitHub and GitHub Actions, enabling automated testing, version control, and reliable deployments. - Review code, enforce engineering best practices, and support production deployments and operational stability. - Participate in Agile/Scrum ceremonies, including sprint planning, design reviews, and regulatory or audit engagements. - Provide technical leadership and mentorship to data engineers, setting standards and best practices across the organization. Qualifications and Skills - Master's degree in Computer Science, Engineering, Information Systems, or a related field. - 10-15 years of hands‑on experience in data engineering, preferably within financial services or other regulated industries Required Technical Expertise - Azure Databricks (clusters, jobs, notebooks, Delta Lake, performance tuning) - PySpark (RDDs, DataFrames, Spark SQL, optimization techniques) - Azure Cloud Services: - Azure Data Factory (ADF) - ADLS Gen2 - Azure Synapse - Azure Functions - Azure DevOps / GitHub - Python for data engineering and automation workflows - SQL (complex queries, performance optimization, large‑scale datasets) Preferred / Nice‑to‑Have Skills - Experience designing and supporting enterprise‑scale ETL/ELT pipelines. - Strong understanding of Delta Lake, medallion architecture (Bronze/Silver/Gold), and distributed data processing. - Familiarity with data governance, security, encryption, and RBAC in cloud‑native environments. - Experience with CI/CD best practices and automated deployment pipelines. - Exposure to BI and visualization tools such as Power BI or Tableau. - Familiarity with Anaplan or other enterprise planning platforms is a plus, particularly in supporting downstream financial analytics or planning use cases. - Exposure to or hands‑on experience with AI agents, intelligent automation, or GenAI‑enabled data workflows is a strong plus. - Excellent analytical, communication, and cross‑functional collaboration skills. 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.

• Diseñar y supervisar la arquitectura de integración de datos entre plataformas. • Responsable de la toma de requerimientos de reporting (KPIs y dimensiones). • Documentar y gestionar inventarios de activos de datos. • Actuar como referente técnico para equipos de desarrollo. • Identificar y gestionar riesgos arquitectónicos y deuda técnica. • Coordinar iniciativas de mejora continua en desarrollos desplegados. • Evaluar y recomendar tecnologías de almacenamiento de datos. • Liderar iniciativas de integración entre ambientes On-Premise y Cloud.

• Define, implement, and maintain enterprise data architecture principles, standards, policies, and target-state architectures aligned with business and technology strategies. • Design and govern current-state, transition-state, and target-state data architectures and data flows across multiple business domains. • Develop and maintain enterprise data models, ensuring alignment with industry standards and organizational data architecture principles. • Review and approve data architecture artefacts, ensuring compliance with enterprise governance, policies, standards, and best practices. • Establish and support enterprise data governance functions, architecture review boards, and governance forums, including developing Terms of Reference (ToRs). • Provide architectural leadership and guidance for strategic data initiatives, enterprise data platforms, and data product development. • Collaborate with business stakeholders, enterprise architects, solution architects, and engineering teams to define scalable and future-ready data solutions. • Evaluate and recommend enterprise data architecture methodologies, technologies, and tools to support business transformation. • Promote adoption of modern data architecture approaches, including Data Lake, Data Mesh, Data Fabric, Hybrid Architectures, and AI-enabled data ecosystems. • Drive continuous improvement by identifying opportunities to enhance enterprise data architecture capabilities, governance, and operating models. • Stay informed of emerging technologies, industry trends, and regulatory developments to ensure the organization's data architecture remains current and effective.