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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Data Infrastructure Architect - VP - **Company:** Morgan Stanley - **Location:** Glasgow, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, Databases, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Enterprise Architecture Framework, Github, Monitoring of Systems, PostgreSQL, Machine Learning, MongoDB, Performance Tuning, Reliability Engineering, Ansible, Prometheus, Zero Trust Network Access, SQL Databases, Talend, Zachman Framework, Cloud Platform System, Informatica Powercenter, Retrieval-Augmented Generation, Large Language Models, Snowflake, Grafana, Prompt Engineering, Generative AI, Togaf, Data Lakes, Collibra, Apache Nifi, Data Management, Virtual Agents, Puppet, Terraform, Splunk, Jenkins, Amazon Redshift, Databricks - **Published:** August 15, 2026 - **Apply:** https://www.totaljobs.com/job/it-infrastructure-architect/morgan-stanley-job107843997 ## About the Role * 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. #LI-LM1 #GLTECH #Hybrid ## Description 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. 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. In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Principal Infrastructure Production Management & Reliability Engineering position at VP level, which is part of the job family responsible for maintaining the stability and reliability of the organization's infrastructure systems, ensuring optimal performance and availability to support business operations Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you'll do in the role: * 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 and monitoring solutions (Splunk, Prometheus, Loki, Grafana). AI & Advanced Analytics Exposure: * LLM Integration: Retrieval-augmented generation, fine-tuning, prompt engineering. * Generative AI: Building and deploying generative AI solutions for data-driven insights and automation. * Agentic AI: Designing agent-based architecture for autonomous workflows and decision-making., 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? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents. 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