Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team to transform data systems and create innovative data models.
- Company: Work with a leading insurance client focused on data transformation.
- Benefits: Enjoy a flexible contract with opportunities for growth in a dynamic environment.
- Why this job: Be part of a major data transformation that impacts the entire business.
- Qualifications: Experience in data architecture and understanding of complex data systems required.
- Other info: Initial 6-month contract with potential for extension based on performance.
The predicted salary is between 48000 - 72000 £ per year.
Initial 6 Month Contract
One of our Insurance Clients is currently on the search for a Data Architect to join them on an interim basis. You will be joining them on a large scale Data Transformation to execute across the business including:
- Building a common data model
- Conceptual to physical modelling
- Domain and data modelling working with local and group stakeholders
Key areas include:
- Insurance and London Market
- Future State Data Architectures
- Design and understanding of complex Data Systems
- Creation and Design of Data Models
- Data Governance
- Master Data Management
Insurance Data Architect employer: Source Technology
Contact Detail:
Source Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance Data Architect
✨Tip Number 1
Familiarise yourself with the specific data transformation projects within the insurance sector. Understanding the nuances of the London Market and how data architecture plays a role in it will give you an edge during discussions.
✨Tip Number 2
Network with professionals in the insurance industry, especially those who have experience in data governance and master data management. Engaging with them can provide insights into current trends and expectations for the role.
✨Tip Number 3
Brush up on your skills in creating and designing data models. Being able to demonstrate your expertise in conceptual to physical modelling will be crucial when discussing your fit for the role.
✨Tip Number 4
Prepare to discuss your experience with complex data systems and how you've successfully collaborated with stakeholders in the past. Highlighting these experiences will show that you can navigate the challenges of the role effectively.
We think you need these skills to ace Insurance Data Architect
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of an Insurance Data Architect. Highlight your experience in data transformation, data modelling, and governance in your application.
Tailor Your CV: Make sure your CV reflects relevant skills and experiences related to data architecture, especially in the insurance sector. Use keywords from the job description to catch the employer's attention.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of complex data systems and your ability to work with stakeholders. Mention specific projects where you've successfully designed data models or implemented data governance.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A polished application demonstrates professionalism and attention to detail, which is crucial for a Data Architect role.
How to prepare for a job interview at Source Technology
✨Showcase Your Data Modelling Skills
Be prepared to discuss your experience with data modelling in detail. Highlight specific projects where you created or designed data models, and be ready to explain your approach to both conceptual and physical modelling.
✨Understand the Insurance Sector
Familiarise yourself with the insurance industry, particularly the London Market. Demonstrating knowledge of industry-specific challenges and data governance practices will show that you can effectively contribute to their data transformation efforts.
✨Discuss Stakeholder Engagement
Since the role involves working with local and group stakeholders, be ready to share examples of how you've successfully engaged with different teams. Emphasise your communication skills and ability to translate complex data concepts into understandable terms for non-technical stakeholders.
✨Prepare for Technical Questions
Expect technical questions related to data architecture and governance. Brush up on your understanding of complex data systems and master data management principles, as these are crucial for the role. Being able to articulate your thought process will impress the interviewers.
