Data/Enterprise Architect in London

Data/Enterprise Architect in London

London Full-Time 80000 - 100000 £ / year (est.) No home office possible
Qh4 Consulting

At a Glance

  • Tasks: Lead the design of enterprise data architecture and establish governance standards.
  • Company: Global investment management firm with sophisticated data capabilities.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a team dedicated to transforming fragmented data landscapes into cohesive structures.
  • Why this job: Shape the future of data architecture in a complex, dynamic environment.
  • Qualifications: Proven experience in enterprise data architecture and governance in financial services.

The predicted salary is between 80000 - 100000 £ per year.

This is not a data platform or engineering role - it is a pure enterprise data architecture appointment, created to fill a real gap at the heart of a complex, global investment management business.

The organisation has sophisticated data capabilities but lacks the architectural coherence to maximise them. Data sits in fiefdoms. Reporting into senior technology and data leadership, you will be the authoritative voice on how data is structured, governed and used across the enterprise.

Your first task will be to conduct a thorough assessment of the current state, people, processes, platforms and data structures, and from that, define and own a clear, credible end-state architecture.

  • Establish enterprise-wide data architecture standards, principles and patterns
  • Drive standardisation and harmonisation across historically siloed data domains
  • Define the operating model for data teams and lay the groundwork for a data office function

You are a seasoned enterprise data architect not a platform engineer, not a data scientist. You understand data structures at enterprise scale and have done this before in large, complex financial services or investment management environments.

Deep expertise in enterprise data architecture, data modelling and governance.

A track record of bringing order to fragmented, federated data landscapes.

Experience setting up data architecture functions, standards and operating models.

Data/Enterprise Architect in London employer: Qh4 Consulting

As a leading global investment management firm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a strong focus on professional development, we offer extensive growth opportunities and the chance to shape the future of enterprise data architecture within a sophisticated data environment. Join us in a dynamic location where your expertise will be valued, and you can make a meaningful impact on our data governance and architecture standards.
Qh4 Consulting

Contact Detail:

Qh4 Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data/Enterprise Architect in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a Data/Enterprise Architect role. You never know who might have the inside scoop on an opportunity that’s not even advertised yet.

✨Tip Number 2

Showcase your expertise! When you get the chance to chat with potential employers, make sure to highlight your experience in enterprise data architecture and governance. Share specific examples of how you've brought order to fragmented data landscapes in the past.

✨Tip Number 3

Prepare for interviews by brushing up on the latest trends in data architecture. Be ready to discuss how you would establish standards and principles for data governance in their organisation. This shows you’re not just a fit, but the perfect fit!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process. Plus, we love seeing familiar faces!

We think you need these skills to ace Data/Enterprise Architect in London

Enterprise Data Architecture
Data Modelling
Data Governance
Assessment of Current State
Standardisation and Harmonisation
Operating Model Definition
Data Structures Understanding
Experience in Financial Services
Fragmented Data Landscape Management
Data Architecture Function Setup
Architectural Coherence
Communication with Senior Leadership

Some tips for your application 🫡

Know Your Stuff: Make sure you really understand the role of an Enterprise Data Architect. We want to see your expertise in data architecture, governance, and modelling shine through in your application. Highlight your experience in bringing order to complex data landscapes!

Tailor Your Application: Don’t just send a generic CV and cover letter. We’re looking for candidates who can demonstrate how their skills and experiences align with our needs. Use the job description as a guide and make it personal – show us why you’re the perfect fit!

Showcase Your Achievements: We love seeing concrete examples of your past successes. Share specific projects where you’ve established data architecture standards or driven standardisation across data domains. Numbers and outcomes speak volumes, so don’t hold back!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen and ready to take the next step with StudySmarter!

How to prepare for a job interview at Qh4 Consulting

✨Know Your Data Architecture Inside Out

Make sure you brush up on your knowledge of enterprise data architecture principles and practices. Be ready to discuss how you've tackled fragmented data landscapes in the past, as this role demands a deep understanding of data structures at an enterprise scale.

✨Showcase Your Governance Experience

Prepare examples that highlight your experience with data governance and standardisation. The organisation is looking for someone who can establish clear standards and principles, so be ready to explain how you've successfully implemented these in previous roles.

✨Understand the Business Context

Familiarise yourself with the investment management sector and the specific challenges it faces regarding data architecture. This will help you articulate how your skills can directly address their needs and improve their data capabilities.

✨Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems related to data architecture. Think through potential scenarios where you might need to harmonise siloed data domains or define an operating model for data teams, and be ready to share your thought process.

Data/Enterprise Architect in London
Qh4 Consulting
Location: London

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