Data Architect

Data Architect

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Thebes Group

At a Glance

  • Tasks: Design and structure AI-ready data environments for complex enterprises.
  • Company: Thebes Group, a leader in enterprise data architecture.
  • Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on transformation in fast-paced environments.
  • Why this job: Shape the future of data management and drive innovation in AI and analytics.
  • Qualifications: Experience in data architecture, metadata management, and AI frameworks.

The predicted salary is between 70000 - 90000 £ per year.

Location: London

Duration: Hybrid – 6 months

Key Responsibilities

  • Design enterprise-wide data architectures and information models
  • Develop taxonomies, ontologies, and semantic data structures
  • Define metadata standards and governance frameworks
  • Structure data for AI, reporting, analytics, and operational use
  • Support Power BI data models, reporting structures, and data flows
  • Improve enterprise data quality, visibility, and usability
  • Support AI readiness and data transformation initiatives
  • Engage with stakeholders to translate business requirements into scalable data structures

Experience

  • Working in Private Equity, Banking, Financial Services, Insurance or fast-paced, transformation-led environments
  • Supporting AI or machine learning initiatives
  • Knowledge of semantic web or knowledge graph concepts
  • Experience within enterprise modernisation or transformation programmes

Core Focus Areas

  • Metadata Management
  • Information Governance
  • AI Data Structures
  • Knowledge Graphs
  • Syntax Trees & Relationship Mapping

Overview

Thebes Group is seeking an experienced Enterprise Data Architect to design and structure AI-ready data environments across complex enterprise organisations. This is not a software engineering or coding role. The role focuses on improving how enterprise data is structured, governed, connected, and utilised across AI, analytics, reporting, and operational systems. We are looking for a senior data professional with strong experience in:

  • Taxonomy and ontology design
  • Metadata and semantic modelling
  • Power BI and enterprise reporting structures
  • Information governance and AI data frameworks

Data Architect employer: Thebes Group

Thebes Group is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong focus on employee growth, we provide opportunities for professional development in cutting-edge areas such as AI and data architecture, while promoting a culture of inclusivity and support. Our hybrid work model ensures flexibility, allowing you to balance your professional and personal life effectively.

Thebes Group

Contact Details:

Thebes Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Architect

Tip Number 1

Network like a pro! Reach out to folks in your industry, especially those in Private Equity or Financial Services. A casual chat can lead to opportunities you might not find on job boards.

Tip Number 2

Show off your skills! Create a portfolio showcasing your work with data architectures and AI frameworks. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of metadata management and semantic web concepts. Be ready to discuss how you've tackled similar challenges in past roles.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Data Architect

Data Architecture Design
Taxonomy Development
Ontology Development
Semantic Data Structures
Metadata Standards Definition
Information Governance
AI Data Structures

Some tips for your application 🫡

Tailor Your CV:Make sure your CV speaks directly to the role of Data Architect. Highlight your experience with data architectures, governance frameworks, and any relevant projects that showcase your skills in AI readiness and transformation.

Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've designed data structures or improved data quality in past roles, especially in fast-paced environments like Private Equity or Banking.

Showcase Relevant Experience:Don’t forget to mention your experience with Power BI and any work you've done with taxonomies or ontologies. We want to see how your background aligns with our needs, so be clear and concise!

Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Thebes Group

Know Your Data Inside Out

Before the interview, make sure you’re well-versed in the key responsibilities outlined in the job description. Brush up on your knowledge of data architectures, taxonomies, and metadata standards. Being able to discuss these topics confidently will show that you’re not just familiar with the concepts but can also apply them effectively.

Showcase Your Experience

Prepare specific examples from your past roles that demonstrate your experience in designing data structures and supporting AI initiatives. Use the STAR method (Situation, Task, Action, Result) to structure your responses. This will help you articulate how your background aligns with the needs of the role.

Engage with Stakeholders

Since the role involves translating business requirements into data structures, be ready to discuss how you’ve successfully engaged with stakeholders in previous positions. Highlight your communication skills and how you’ve collaborated with different teams to achieve common goals.

Stay Current with Trends

Familiarise yourself with the latest trends in data architecture, especially around AI readiness and semantic web concepts. Being able to discuss current developments will not only impress your interviewers but also demonstrate your commitment to staying ahead in the field.