At a Glance
- Tasks: Lead data architecture transformations and modernise data systems for a financial services client.
- Company: Join a dynamic financial services firm focused on innovative data solutions.
- Benefits: Enjoy a permanent role with flexible remote work options and competitive salary.
- Why this job: Be at the forefront of data modernization, impacting the fintech landscape positively.
- Qualifications: 7+ years as a Data Architect with expertise in cloud platforms and modern data frameworks.
- Other info: Work PST hours while collaborating with a talented team in a fast-paced environment.
The predicted salary is between 54000 - 84000 £ per year.
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Senior Data Architect to support data modernization roadmap leading data architecture transformations, particularly in transitioning from on-prem solutions to cloud-based platforms., London
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Client:
S.i. Systems
Location:
London, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
eee46832a43d
Job Views:
34
Posted:
12.08.2025
Expiry Date:
26.09.2025
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Job Description:
Our Financial Services Client is seeking a Senior Data Architect to support data modernization roadmap leading data architecture transformations, particularly in transitioning from on-prem solutions to cloud-based platforms.
This is a Permanent Opportunity, % Remote – PST HOURS
Must Have:
- 7+ years of software development experience as a Data Architect creating roadmap and supporting data modernization initiatives within Financial/Banking sector applications.
- Strong proficiency in Databricks, Power BI, cloud data platforms (AWS, Azure, GCP), SQL , and modern data architecture frameworks.
- Experience with data lake, data warehouse, data security
- Experience in cloud architecture – Azure
- Experience with modern core banking systems and awareness of fintech landscape.
- Extensive knowledge of software architecture, application development and technical processes with considerable in-depth knowledge in one or more technical disciplines
- Have in depth knowledge in integration patterns and expertise in developing RESTful APIs with a good understanding of microservices architecture.
- Architectural experience using modelling languages and frameworks (UML, TOGAF, Archimate, 4 View Model, etc), architecture practices and principles in Business, Information (data), Application, Technology, and Security architecture disciplines.
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Senior Data Architect to support data modernization roadmap leading data architecture transform[...] employer: S.i. Systems
Contact Detail:
S.i. Systems Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Architect to support data modernization roadmap leading data architecture transform[...]
✨Tip Number 1
Network with professionals in the financial services sector, especially those who have experience with data architecture transformations. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends in cloud-based platforms.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Databricks, Power BI, and various cloud platforms like AWS, Azure, and GCP. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your previous experiences in transitioning from on-prem solutions to cloud-based architectures. Be ready to share specific examples of challenges you faced and how you overcame them, as this will showcase your problem-solving abilities and expertise.
✨Tip Number 4
Research the company and its current data modernization initiatives. Understanding their goals and challenges will allow you to tailor your conversations during interviews, demonstrating that you are not only qualified but also genuinely interested in contributing to their success.
We think you need these skills to ace Senior Data Architect to support data modernization roadmap leading data architecture transform[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 7+ years of experience as a Data Architect, particularly in the financial or banking sector. Emphasise your proficiency in Databricks, Power BI, and cloud platforms like AWS, Azure, and GCP.
Craft a Compelling Cover Letter: In your cover letter, explain how your experience aligns with the company's data modernization roadmap. Mention specific projects where you've transitioned from on-prem solutions to cloud-based platforms.
Showcase Technical Skills: Clearly outline your technical skills related to data architecture frameworks, integration patterns, and RESTful APIs. Provide examples of how you've applied these skills in previous roles.
Highlight Relevant Certifications: If you have any relevant certifications in cloud architecture or data management, be sure to include them. This can set you apart from other candidates and demonstrate your commitment to professional development.
How to prepare for a job interview at S.i. Systems
✨Showcase Your Technical Expertise
Make sure to highlight your experience with Databricks, Power BI, and cloud platforms like AWS, Azure, or GCP. Be prepared to discuss specific projects where you successfully implemented these technologies, especially in the context of data modernization.
✨Demonstrate Your Understanding of Financial Services
Since the role is within the Financial/Banking sector, it's crucial to show your familiarity with core banking systems and the fintech landscape. Prepare examples of how you've navigated challenges in this industry and contributed to data architecture transformations.
✨Discuss Integration Patterns and APIs
Be ready to talk about your experience with integration patterns and developing RESTful APIs. Provide insights into how you've applied microservices architecture in past projects, as this will demonstrate your ability to design scalable solutions.
✨Familiarise Yourself with Architectural Frameworks
Brush up on modelling languages and frameworks such as UML, TOGAF, and Archimate. During the interview, reference how you've used these frameworks to guide your architectural decisions and ensure alignment with business and technical goals.