Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a dynamic team to develop and manage data models for financial services.
- Company: Be part of a leading firm driving digital transformation in finance.
- Benefits: Enjoy flexible working options and opportunities for contract extension.
- Why this job: Make a real impact on enterprise programmes while enhancing your data expertise.
- Qualifications: 8+ years in data modeling, with strong SQL/NoSQL and cloud platform skills required.
- Other info: SC clearance is needed; bonus points for experience with unstructured data.
The predicted salary is between 60000 - 84000 £ per year.
This role is for a data expert passionate about driving large-scale digital transformation in financial services. We’re looking for an experienced Data Modeller/Architect to join a dynamic team, supporting high-impact enterprise programmes across Finance, CRM, and Master Data Management (MDM).
Key Responsibilities:
- Develop conceptual, logical, and physical data models aligned to enterprise-wide MDM initiatives.
- Map data lifecycle events to logical models and physical systems.
- Define and enforce data governance policies and data standards.
- Design data models across relational and NoSQL databases.
- Ensure data security, compliance, and integrity within all models.
- Translate business requirements into optimal data structures.
- Document and maintain metadata, dictionaries, and entity relationships.
- Support cloud-based data implementations (e.g., AWS, Azure, Snowflake).
- Contribute to data migration and real-time integration strategies.
What You Bring:
- 8+ years of hands-on experience in data modeling and MDM.
- Proficiency in data modeling tools like Erwin, Power Designer, or ER/Studio.
- Strong SQL/NoSQL skills and experience with cloud platforms (e.g., Snowflake, Redshift, BigQuery).
- Solid background in financial services, capital markets, or consultancy.
- Expertise in metadata management, data governance, and compliance.
- Experience with ETL frameworks, APIs, and data integration.
Bonus Points For:
- Experience with unstructured data models.
- Familiarity with agile delivery in a consulting environment.
Data Architect - Data Models - MDM employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect - Data Models - MDM
✨Tip Number 1
Network with professionals in the financial services sector, especially those who work with data architecture and MDM. Attend industry events or webinars to connect with potential colleagues and learn about the latest trends in data modelling.
✨Tip Number 2
Familiarise yourself with the specific data modelling tools mentioned in the job description, such as Erwin or Power Designer. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these tools.
✨Tip Number 3
Showcase your experience with cloud platforms like AWS or Azure by discussing relevant projects during interviews. Be prepared to explain how you’ve implemented data models in cloud environments and the impact it had on previous organisations.
✨Tip Number 4
Stay updated on data governance policies and compliance regulations within the financial services industry. Being knowledgeable about these topics will not only help you in interviews but also show that you understand the importance of data integrity and security.
We think you need these skills to ace Data Architect - Data Models - MDM
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 8+ years of experience in data modeling and MDM. Emphasise your proficiency with data modeling tools and cloud platforms, as well as any relevant experience in financial services.
Craft a Compelling Cover Letter: In your cover letter, express your passion for driving digital transformation in financial services. Mention specific projects or achievements that demonstrate your expertise in data governance and compliance.
Showcase Relevant Skills: Clearly outline your skills in SQL/NoSQL and your experience with ETL frameworks and data integration. Use examples to illustrate how you've successfully implemented data models in previous roles.
Highlight Cloud Experience: Since the role involves cloud-based data implementations, be sure to detail your experience with platforms like AWS, Azure, or Snowflake. Mention any specific projects where you contributed to cloud data strategies.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Showcase Your Data Modelling Expertise
Be prepared to discuss your experience with data modelling tools like Erwin or Power Designer. Highlight specific projects where you developed conceptual, logical, and physical data models, especially in relation to MDM initiatives.
✨Demonstrate Your Understanding of Data Governance
Since the role involves defining and enforcing data governance policies, be ready to explain your approach to data governance and how you've implemented standards in previous roles. Use examples that showcase your ability to ensure data security and compliance.
✨Discuss Cloud Experience
With a focus on cloud-based data implementations, make sure to talk about your experience with platforms like AWS, Azure, or Snowflake. Share specific instances where you contributed to data migration or real-time integration strategies.
✨Prepare for Technical Questions
Expect technical questions related to SQL/NoSQL skills and data integration frameworks. Brush up on your knowledge of ETL processes and be ready to solve problems or case studies that may arise during the interview.
