At a Glance
- Tasks: Design and govern enterprise-scale data platforms for innovative financial solutions.
- Company: Join Morgan Stanley, a leading global financial services firm with a collaborative culture.
- Benefits: Enjoy competitive salary, flexible working options, and comprehensive employee perks.
- Why this job: Shape the future of data architecture in a dynamic, tech-driven environment.
- Qualifications: 7+ years in IT data infrastructure with strong leadership and communication skills.
- Other info: Opportunities for career growth and continuous learning in a diverse workplace.
The predicted salary is between 72000 - 108000 ÂŁ per year.
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.
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.
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: Drive 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.
- 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.
- 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.
- 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).
- 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.
- 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.
We are committed to maintaining the first‑class service and high standard of excellence that have defined Morgan Stanley for over 89 years. 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.
At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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.
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.
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 opportunities employer. 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.
IT Data Infrastructure Architect - VP in Glasgow employer: PowerToFly
Contact Detail:
PowerToFly Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land IT Data Infrastructure Architect - VP in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. The more people know you’re looking for opportunities, the better your chances of landing that dream job.
✨Tip Number 2
Prepare for those interviews! Research Morgan Stanley’s culture, values, and recent projects. Tailor your responses to show how your experience aligns with their needs, especially in data architecture and governance.
✨Tip Number 3
Showcase your skills! Create a portfolio or case studies that highlight your past projects in data infrastructure. This will give you an edge and demonstrate your hands-on experience in building scalable data platforms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the team at Morgan Stanley.
We think you need these skills to ace IT Data Infrastructure Architect - VP in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of IT Data Infrastructure Architect. Highlight your experience in designing data platforms and any relevant technologies you've worked with. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. Don't forget to mention your experience in regulated environments and your strategic influence in past roles.
Showcase Your Technical Skills: Be sure to list all the technical skills mentioned in the job description, like SQL, cloud platforms, and data governance tools. We love seeing candidates who can demonstrate their expertise in these areas, so don't hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you're serious about joining our team at Morgan Stanley!
How to prepare for a job interview at PowerToFly
✨Know Your Data Inside Out
Make sure you have a solid understanding of the data platforms and technologies mentioned in the job description. Brush up on your knowledge of SQL, PostgreSQL, and cloud-based platforms like Snowflake and Databricks. Being able to discuss your hands-on experience with these tools will show that you're not just familiar with them, but that you can leverage them effectively.
✨Showcase Your Strategic Thinking
This role requires a shift from hands-on delivery to strategic influence. Prepare examples of how you've shaped data architecture standards or guided technology decisions in previous roles. Be ready to discuss how you can contribute to the firm's multi-year technology modernization roadmap and drive data governance.
✨Demonstrate Collaboration Skills
Collaboration is key in this position, so think of instances where you've worked closely with cross-functional teams. Highlight your ability to partner with enterprise architects and engineering teams to align solutions with IT strategy. This will show that you can effectively communicate and influence technical decisions across the organisation.
✨Prepare for Technical Questions
Expect to face technical questions related to data governance tools, ETL processes, and security frameworks. Brush up on your knowledge of tools like Collibra and Talend, and be prepared to discuss how you've implemented data protection and encryption measures in past projects. This will demonstrate your expertise and readiness for the challenges of the role.