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Morgan Stanley

IT Data Infrastructure Architect - VP

Glasgow
Posted 3 days ago
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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
  • 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
  • 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.
  • Serve as Divisional Data Officer driving data architecture & governance, in collaboration with the Firmwide Data Office and other Divisional Data Officers.
  • Collaborate with SME teams to build and scale data platforms (lakes, warehouses) across on-premises, 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 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
    • Software-defined technologies

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£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

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Governance & Compliance

  • Conduct architecture reviews to ensure 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
    • Associated data systems

Databases

  • SQL, PostgreSQL
  • MongoDB
  • Cloud-based platforms, e.g.,:
    • Snowflake
    • Databricks
    • Amazon Redshift

Semantic Layer

  • Design and implementation of governed reusable data views

Data Governance Tools

  • Collibra
  • Alation
  • Talend or equivalent

Security

  • Data Privacy & Encryption frameworks & governance

Enterprise Architecture Frameworks

  • TOGAF
  • Zachman
  • Familiarity with ITIL processes

Additional Helpful Skills

Cloud Platform Awareness

  • AWS
  • Azure
  • Google Cloud Platform (GCP)

Automation & Infrastructure as Code (IaC)

  • Terraform
  • Ansible
  • Puppet
  • CI/CD pipelines (e.g., Jenkins, GitHub Actions)

Observability & Monitoring

  • Experience integrating:
    • Splunk
    • Prometheus
    • Loki
    • Grafana

AI & Advanced Analytics Exposure

  • LLM Integration:
    • Retrieval-augmented generation
    • Fine-tuning
    • Prompt engineering
  • Generative AI:
    • Building and deploying analytics-driven solutions for insights and automation
    • Agentic AI: Designing agent-based architectures for autonomous workflows and decision-making

Qualifications & Experience

  • 7+ years in IT data infrastructure within large, regulated enterprises.
  • Proven experience in:
    • Data architecture
    • Modernization initiatives
  • Strong understanding of:
    • Data security
    • Compliance requirements in financial services
  • Excellent communication, problem-solving, and stakeholder management skills.

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Key Competencies

  • 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.

What You Can Expect From Morgan Stanley

At Morgan Stanley, we raise, manage, and allocate capital for clients, helping them reach their goals through innovation and integrity.

Our Values

  • Putting clients first
  • Doing the right thing
  • Leading with exceptional ideas
  • Committing to diversity and inclusion
  • Giving back to communities

Work Environment

  • Opportunity to work alongside talented professionals in a supportive and empowering culture.
  • Relentless collaboration and creativity fostered by diverse backgrounds.
  • Comprehensive employee benefits to support professional and personal growth.

Career Opportunities

  • Ample chance to transition internal roles for those driven by passion and grit.
  • Global offices (42 countries, 1,200+ locations—visit Morgan Stanley’s global offices for details).

Inclusivity & Diversity

  • Equal opportunity employer committed to inclusive hiring based on skills and talents.
  • Visit Morgan Stanley’s EEO page for more.

Regulatory & Flexibility Notes

  • Some roles may require mandatory regulatory qualification(s)—Certified Persons requirements apply.
  • Flexible working arrangements are available—contact the recruitment team for details.

About Our Mission

At Morgan Stanley, we strive to create value through:

  • Transformative thinking
  • Innovative strategies
  • Leading-edge solutions
  • Capital driven to benefit society globally

From advisory to managing risk, we guide markets with excellence and innovation while fostering sustainable growth and global communities.

Through our services, we embody our belief in capital’s power to effect positive change. Never forget that collaboration is at the heart of world-class financial services.


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Skills

Data Architecture
Data Governance
Cloud Infrastructure
SQL
PostgreSQL
MongoDB
Snowflake
Databricks
Redshift
ETL
Collibra
Alation
TOGAF
Data Security
Semantic Layer
Enterprise Architecture

Location

Glasgow, Scotland, United Kingdom

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