At a Glance
- Tasks: Shape and govern enterprise data architecture for analytics and AI in financial services.
- Company: Specialist advisory organisation at the intersection of finance and technology.
- Benefits: Salary up to £100,000, hybrid working, and robust benefits package.
- Other info: Join a growing Data & AI capability with excellent career opportunities.
- Why this job: Lead data architecture in a fast-paced environment and make a real impact.
- Qualifications: Proven experience in data architecture and strong stakeholder management skills.
The predicted salary is between 70000 - 90000 £ per year.
We are recruiting a Senior Data Architect to join a specialist advisory organisation operating at the intersection of financial services and technology. With a history operating in regulated environments, the business supports institutions where technology carries significant financial and regulatory impact.
This is a key role within a growing Data & AI capability responsible for shaping and governing enterprise data architecture to support analytics, reporting and advanced AI use cases in complex, regulated environments. This position is a senior technical leadership role where you will provide architectural oversight rather than hands‑on delivery. You will play a critical role in ensuring data is trusted, well‑designed, and aligned to both business priorities and regulatory expectations.
Responsibilities- Shape and evolve enterprise-wide data architecture to support strategic business objectives and technology direction
- Develop robust data designs to enable scalable analytics, reporting and AI capabilities
- Define and embed architectural frameworks and standards across the data environment
- Provide governance and design assurance to ensure consistency, quality and alignment with regulatory expectations
- Enable strong data management practices including governance, lineage and data quality
- Contribute to the development of strategic data roadmaps, balancing immediate delivery needs with long-term goals
- Ensure data platforms and solutions meet requirements for security, performance, resilience, and compliance
- Proven experience in a senior data architecture role
- Strong knowledge of data architecture principles including data modelling and platform design
- Experience designing data solutions for analytics, reporting and Machine Learning use cases
- Experience working within regulated environments (e.g. financial services, insurance, banking)
- Strong stakeholder management skills with the ability to communicate complex concepts clearly
- Salary of up to £100,000
- Hybrid working arrangement - 3 days per week in office
- Opportunity to define architecture in a fast paced, evolving environment
- Robust company benefits package
Senior Data Architect in London employer: Energy Jobline ZR
World Wide Technology (WWT) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Programme Director in London. With a strong focus on employee growth, WWT offers opportunities to lead cutting-edge automation projects while working in a hybrid environment that promotes work-life balance. The company values transparent communication and client-first service, ensuring that employees are empowered to drive meaningful outcomes and develop their skills in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Architect in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Energy Jobline ZR before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Energy Jobline ZR.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Energy Jobline ZR.
We think you need these skills to ace Senior Data Architect in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Energy Jobline ZR, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Energy Jobline ZR, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Energy Jobline ZR’s attention and show the tangible impact of your work.
How to prepare for a job interview at Energy Jobline ZR
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Energy Jobline ZR.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Energy Jobline ZR.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Energy Jobline ZR.
