• Implement data standards, policies, and guidelines to ensure data deliveries and architecture artifacts maintain integrity, quality, and consistency across the business area/domain. • Ensure alignment with Data Governance frameworks and IT initiatives within the business area/domain. • Oversee business area/domain data modelling and ensure its global alignment. • Facilitate communication and collaboration for the adoption and maintenance of data policies and frameworks. • Drive the management and adoption of data policies and frameworks within the business area/domain across EMEA and globally. • Drive data architecture decisions for Data Solutions/Products. • Collaborate with IT teams and business stakeholders to gain alignment on data policies and standards. • Contribute to data architecture discussions and lead decision-making in this area. • Stay informed about industry trends, emerging technologies, and best practices in data architecture and data management. • Use industry knowledge to build future-focused data architecture capability roadmaps.

• Define and drive the enterprise data architecture strategy, principles, standards, and target-state architecture. • Develop enterprise data architecture roadmaps and transition plans aligned with business and technology strategies. • Establish and lead enterprise data governance forums, architecture review boards, and decision-making processes. • Create and maintain enterprise data architecture artifacts, including conceptual, logical, and physical data models, data flows, and architecture blueprints. • Design enterprise data flows across business domains and ensure alignment with target-state architecture. • Review and approve data architecture deliverables, ensuring compliance with enterprise standards, governance policies, and best practices. • Collaborate with business, engineering, analytics, and architecture teams to design scalable and reusable data solutions. • Evaluate emerging data technologies, architecture patterns, and tools, providing recommendations aligned with organizational objectives. • Provide architectural guidance for cloud data platforms, including Databricks, Snowflake, and other modern data ecosystems. • Define and promote best practices for data modelling, metadata management, data quality, lineage, and governance. • Support enterprise transformation initiatives by ensuring consistency, interoperability, and scalability across the organization's data landscape. • Mentor architects and engineering teams on enterprise data architecture principles and governance practices. • Stay current with evolving data architecture methodologies, industry standards, and emerging technologies, driving continuous improvement across the enterprise.

Title: Market Data Senior Java Developer Location: New York, NY (1271 AOA/6th Ave) Job Description: This is an exciting opportunity where you would be part of several green field initiatives such as building dashboards for different market data sets and helping to bring traceability and auditing of the market data flow through the systems. In this role, you will interact directly with trading, quantitative, compliance and risk, and IT functions to deliver new market data capabilities and services leveraging modern technologies and data & software architectures. Key Responsibilities: - Hands on Senior Java Developer with over 5 years of enterprise development experience - Work with multiple business teams including trading and quantitative analysts - Provide work estimates as needed - Develop system architectures, designs and concepts - Maintain and improve code quality using static & dynamic code analyses, security vulnerability scans, code coverage and CI/CD pipeline gating - Design, build and configure applications to meet business process and application requirements - Participate in all phases of software delivery lifecycle from analysis through support. Required Skills: - Experienced server-side Java Developer (JDK 11 or 17) - Spring (including Spring Boot and Spring Boot Actuator) - Experience with asynchronous, event-driven programming & concurrency - REST API (including Enterprise Authentication and Authentication) - JMS (Active MQ or similar) - MS SQL Server and/or Sybase experience Preferred Skills: - Experience designing and supporting low latency, high throughput trading applications - Apache Camel (Version 3 or 4) - Enterprise services (including monitoring, state management) - Experience integrating proprietary components with Bloomberg or Murex - MS SQL Server and/or Sybase experience - Experience with Capital Markets Education: Bachelor degree in Mathematics, Engineering or Computer Science. The expected base salary ranges from $111k-$220k. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, successful candidates are eligible to receive a discretionary bonus. #LI-Hybrid Other requirements Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process.

Role Description The Vice President, Data Architecture is a hands-on technology leader responsible for defining, building, and scaling Accuity’s enterprise data platforms, data architecture, data applications, data pipelines, and analytics enablement capabilities. This role’s top priority is leading Accuity’s migration from its SQL Server based architecture to a modern Databricks lakehouse, reducing technical debt and platform cost while improving scalability and performance. Responsibilities - Strategy and Data Architecture Leadership - Lead the design, development, and evolution of Accuity’s Azure-based enterprise data architecture. - Own the data platforms, data architecture, data applications, data pipelines, and analytics enablement capabilities. - Establish scalable data architecture standards, patterns, and governance practices. - Translate business requirements into data platform strategies, technical designs, program enhancements, and delivery roadmaps. - Partner with the CTO and Technology leadership to prioritize data initiatives. - Evaluate current and future data platform needs and recommend improvements. - Identify and lead initiatives to reduce data platform infrastructure and licensing costs. - Data Platform, Engineering, and Analytics Enablement - Lead data-centric initiatives supporting SaaS applications, ETL processes, and enterprise analytics. - Design, build, and optimize data applications, data platforms, data pipelines, and reporting infrastructure. - Provide hands-on technical leadership for Azure database administration and optimization. - Develop and guide the development of database solutions. - Lead the migration and phased decommission of legacy database objects. - Analyze structural requirements for new data applications and analytics solutions. - Improve data system performance through testing, troubleshooting, and optimization. - Define and maintain appropriate data security, backup, recovery, and operational support procedures. - Support operational reporting and Management Information Systems needs. - AI/ML Enablement and Data Science Partnership - Own the data architecture and platform capabilities required to enable AI/ML development. - Partner closely with the VP, Data Science & AI to support Accuity’s data science strategy. - Collaborate with Data Science to operationalize models. - Coordinate cross-functional stakeholders to launch data, analytics, and AI/ML enablement initiatives. - Ensure clear ownership boundaries between Data Architecture and Data Science. - Leadership and People Management - Lead the day-to-day operations, staffing, training, quality, productivity, and performance of the Data Architecture team. - Own and lead the Data Engineering and Data Operations functions. - Serve as a player-coach by balancing team leadership with hands-on technical contribution. - Foster a collaborative, inclusive, accountable, and growth-oriented team culture. - Set clear goals, priorities, deliverables, and performance expectations for team members. - Support team development through coaching, feedback, and technical guidance. - Cross-Functional Collaboration - Collaborate with Application Development, Data Science, Operations, Finance, and third-party partners. - Serve as a senior technical advisor on data architecture and analytics enablement. - Gather requirements from stakeholders and translate those into effective data solutions. - Coordinate multiple parties to deliver data initiatives. - Communicate technical recommendations clearly to various audiences. - Compliance, Security, and Quality - Promote data quality, accuracy, integrity, consistency, and reliability. - Oversee periodic data cleansing and related data quality improvement activities. - Ensure data platforms and processes are designed with appropriate controls and security measures. - Support compliance-aligned data practices appropriate for healthcare technology. - Partner with security, compliance, and technology stakeholders. - Other Duties as Assigned - Perform miscellaneous job-related duties as assigned. Qualifications - Bachelor’s degree in Computer Science, Business Intelligence, Engineering, Mathematics, Information Systems, or a related field preferred. - Relevant technical certifications in Azure, database administration, data architecture, data engineering, analytics, security, or related disciplines preferred. - Minimum of 10 years of progressive experience in data architecture, database architecture, data engineering, or database administration. - Minimum of 3 years of Azure-based data platform experience. - Minimum of 5 years of experience leading or managing technical teams. - Experience supporting data architecture or data engineering capabilities for analytics, reporting, or AI/ML enablement. - Healthcare, healthcare revenue cycle, SaaS, or technology-enabled services experience preferred. - Experience supporting secure or regulated data environments preferred. Core Competencies - Strategic Data Leadership - Player-Coach Leadership - Technical Judgment - People Leadership - Cross-Functional Collaboration - Communication - Problem Solving - Execution Discipline - Remote-Work Effectiveness - Compliance and Risk Awareness - Migration and Change Leadership - Adaptability Additional Requirements - Physical Requirements: Interaction with people and technology while either sitting or standing. - Position and Employment Statement: Management reserves the right to modify, add or remove duties from a job.