IT Data Infrastructure Architect - VP

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. 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. Provide technical leadership and guidance to engineering and operations teams. Expertise in ETL tools and processes (e.g., Apache NiFi, Talend, Informatica) 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 and monitoring solutions (Splunk, Prometheus, Loki, Grafana). 7+ years in IT data infrastructure within large, regulated enterprises. Proven experience in data architecture and modernization initiatives. Strong understanding of data security and compliance requirements in financial services. Excellent communication, problem-solving, and stakeholder management skills. Ability to influence technical decisions in complex environments. Demonstrated leadership in cross-functional teams Strong analytical and strategic thinking. Passion for emerging technologies and continuous improvement. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Speak to our recruitment team to find out more. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents. Responsibilities Develop and execute data infrastructure architecture strategies for enterprise IT initiatives while collaborating with various teams. Oversee data quality processes and enforce standards to ensure trusted data across the organization.

Data Infrastructure Architecture, Data Governance, Data Quality, Cloud Solutions, Automation, ETL Tools, Data Security, Stakeholder Management, Cross-Functional Leadership, Analytical Thinking, Emerging Technologies, Observability, Monitoring Solutions, CI/CD Pipelines, Software-Defined Technologies, Semantic Layers