• Join a motivated, career-oriented team as a Data Engineer. • Design, build, and maintain ETL pipelines across diverse data sources. • Implement data management standards and ensure data quality practices. • Collaborate with teams to optimize data loading and management processes.

Title: Data Engineer Locations: Los Angeles; New York; Remote; San Francisco Hybrid Job Description: Who We Are EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression - across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results - with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO's TV intelligence to know what works. EDO is headquartered in New York City and Los Angeles with an office space in San Francisco. We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. For those who reside full-time in NYC, SF, or LA: we have a hybrid work policy of three days in the office and two remote work days. The Role As a Data Engineer at EDO, you will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing a wide range of datasets, including advertising occurrence data, outcome data, identity resolution data, and more. Our clients rely on these insights to make critical decisions about their advertising strategy. You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake. You'll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform. What We Are Looking For - 3-6 years of experience as a Data Engineer. - Hands-on experience with cloud data platforms (Snowflake or Redshift preferred). - Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred). - Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt. - Strong SQL skills, including query optimization, data modeling, and working with large datasets. - Proficiency in at least one scripting language, preferably Python. - Hands-on experience with large-scale, complex data pipelines operating at billions to trillions of rows of data. - Ability to work independently on well-scoped projects, collaborate with cross-functional partners, and deliver production-ready solutions. Compensation and Benefits EDO offers a competitive compensation package. Components of compensation include: - Mid-stage equity and competitive salary - Flexible Time Off - Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans. - 401(k) plan, FSA, HSA - Commuter Benefits - When in an office, employee meals, snacks, and more In compliance with New York and California Pay Transparency Law, the salary range for this position is $120,000 to $160,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.

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.