Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement scalable data architecture for a new platform.
- Company: Join a leading telecommunication business focused on innovation.
- Benefits: Enjoy flexible working options and a dynamic work environment.
- Why this job: Be part of a greenfield project that shapes the future of data architecture.
- Qualifications: Expertise in Master Data Management, iPaaS, and cloud platforms required.
- Other info: This role offers a unique opportunity to work in a predominantly greenfield landscape.
The predicted salary is between 43200 - 72000 £ per year.
The Siena Partnership are working with a telecommunication business who are looking for a Data Architect to design and implement scalable data architecture across a new platform in a predominantly greenfield landscape.
Candidates will need expertise in the following areas:
- Master Data Management (MDM)
- iPaaS (Integration Platform as a Service)
- Data Integration
- Proficiency in modern cloud platforms (AWS, Azure, or Google Cloud)
Contact Detail:
Siena Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the latest trends in data architecture, especially in greenfield projects. Understanding how to design scalable solutions from scratch will give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the telecommunications sector. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can provide valuable insights for your application.
✨Tip Number 3
Showcase your expertise in Master Data Management and iPaaS by discussing relevant projects you've worked on. Be prepared to explain how you approached challenges and what technologies you used to overcome them.
✨Tip Number 4
Research the specific cloud platform the company uses (AWS, Azure, or Google Cloud) and brush up on your skills in that area. Being able to demonstrate your proficiency in their preferred technology will make you a more attractive candidate.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Data Architect, especially in the context of telecommunications. Highlight your experience with Master Data Management (MDM), iPaaS, and data integration in your application.
Tailor Your CV: Make sure your CV reflects your expertise in modern cloud platforms like AWS, Azure, or Google Cloud. Use specific examples of projects where you've designed or implemented data architecture to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about working in a greenfield environment. Discuss how your background aligns with the company's needs and how you can contribute to their new platform.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application shows attention to detail, which is crucial for a Data Architect role.
How to prepare for a job interview at Siena Partnership
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Master Data Management (MDM) and how you've implemented it in previous roles. Highlight specific projects where you designed data architecture, especially in greenfield environments.
✨Demonstrate Cloud Proficiency
Since the role requires proficiency in modern cloud platforms like AWS, Azure, or Google Cloud, be ready to share examples of how you've utilised these platforms in your work. Discuss any relevant certifications or training you've completed.
✨Discuss Integration Strategies
As the position involves iPaaS, prepare to talk about your experience with data integration strategies. Share insights on how you've successfully integrated various data sources and the tools you used to achieve this.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
