IT Data Infrastructure Architect - VP

IT Data Infrastructure Architect - Vice President Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management, and wealth management services. Our success depends on the talent and passion of our people. We offer a superior foundation for building a professional career where you can learn, achieve, and grow. Technology is the key differentiator that enables us to manage global businesses and serve clients on a resilient, secure, and innovative platform. Our award-winning technology platforms drive business excellence and innovation across complex financial markets. Technology Architecture & Modernization The Architecture & Modernization (A+M) team drives the Firm's multi-year technology modernization roadmap, focusing on architecture frameworks, product delivery, and developer enablement. We aim to modernize technologies and practices to deliver scalable, secure, and future-ready platforms. Role Overview We are seeking a Data Infrastructure Architect with 7+ years of experience in designing and governing enterprise-scale data platforms within regulated environments. The role ensures data is accessible, trusted, secure, and optimized for analytics, machine learning, and AI-driven solutions. Ideal candidates will either already have transitioned to or be ready to transition from a hands-on delivery role to strategic influence, shaping data architecture standards and guiding technology decisions across the organization. Key Responsibilities * Architecture & Design * Develop and execute data infrastructure architecture strategies, roadmaps, and blueprints for enterprise IT initiatives. * Divisional Data Officer driving data architecture & governance, working in close collaboration with Firmwide Data Office and other Divisional Data Officers * Collaborate with SME teams building and scaling data platforms (data lakes, warehouses) across on-prem, cloud, and hybrid environments. * Implement semantic layers for consistent, governed data views, enabling self-service analytics and explainable AI * Oversee data quality processes and enforce standards to minimize data duplication and ensure trusted data. * Recommend and implement cloud-native solutions for scalability, resilience, and business continuity. * Drive modernization of infrastructure systems through cloud adoption, automation, and software-defined technologies. Governance & Compliance * Conduct architecture reviews ensuring alignment with regulatory, security, and enterprise standards. * Maintain reference architectures, policies, and best practices for data infrastructure. * Ensure robust data protection, encryption, and zero-trust security principles. Collaboration & Stakeholder Engagement * Promote architectural best practices, resolve design challenges, and influence technical decisions. * Partner with enterprise architects, engineering teams, and SREs to align solutions with IT strategy. * Provide technical leadership and guidance to engineering and operations teams. Required Technical Skills * Data Platforms: Experience in building & scaling data lakes, data warehouses, and associated data systems. * Databases: SQL, PostgreSQL; MongoDB and cloud-based platforms (e.g. Snowflake, Databricks, Redshift). * Semantic Layer: Design and implementation for governed reusable data views. * Data Governance Tools: Collibra, Alation, Talend or equivalent. * Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica) * Security: Data Privacy, Data Protection & Encryption frameworks & governance * Enterprise Architecture Frameworks: TOGAF, Zachman; familiarity with ITIL processes. Additional Helpful Skills: * Cloud Platform Awareness: One or more of AWS, Azure and /or GCP * Automation & IaC: Terraform, Ansible, Puppet; CI/CD pipelines (Jenkins, GitHub Actions). * Observability & Monitoring: Experience integrating observability...