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- Tasks: Lead the design of data architecture for transformative projects in investment management.
- Company: Dynamic consulting firm focused on modernising data solutions.
- Benefits: Salary up to £95,000, hybrid working, and professional development opportunities.
- Other info: Collaborative culture with clear pathways for career progression.
- Why this job: Shape the future of data architecture and make a real impact in a fast-paced environment.
- Qualifications: Experience in data architecture and strong understanding of investment data.
The predicted salary is between 95000 - 95000 £ per year.
We are seeking a Data Architect to support the design and delivery of enterprise scale data solutions within the Investment Management and Wealth sector. This is a high impact role within a fast paced consulting environment, focused on helping organisations modernise their data platforms, optimise investment data flows and unlock value through advanced analytics. This role sits at the heart of major transformation programmes, shaping data strategies and architectural frameworks. You will work across complex ecosystems, helping clients improve data quality, governance, and accessibility while enabling scalable, future proof data capabilities. This opportunity is ideal for an experienced Data Architect with strong domain expertise in investment data, who is confident leading engagements, managing teams, and influencing senior stakeholders. You will play a key role in defining data architecture best practices, designing target state architectures and delivering tangible business outcomes.
Responsibilities
- Lead the design and delivery of data architecture across large scale transformation programmes
- Define and implement data strategies, identifying inefficiencies and driving improvements in investment data ecosystems
- Design enterprise data models
- Facilitate workshops to gather requirements and align stakeholders requirements
- Develop business cases, identifying cost optimisation and value creation opportunities
- Present recommendations and architectural designs to senior stakeholders, including C suite
- Support pre sales activities including RFI/RFP responses and proposal development
Skills and Experience
- Strong background in data architecture within consulting or complex enterprise environments
- Deep understanding of data architecture principles, including data modelling, governance, quality, MDM and analytics
- Experience designing and implementing enterprise data solutions and architecture patterns
- Strong expertise in developing data models (conceptual, logical and physical)
- Experience working with investment or wealth management data domains
- Experience running data design workshops and translating business requirements into technical solutions
What's on Offer
- Salary of up to £95,000
- Hybrid working (London or Edinburgh)
- Opportunity to work on high profile transformation programmes within investment and wealth management
- Exposure to cutting edge data platforms and architecture practices
- Clear progression pathway with leadership opportunities
- Collaborative and high performance consulting environment
- Ongoing investment in professional development and certifications
This is just a brief overview of the opportunity. To learn more, simply apply with your CV and we'll be in touch to discuss the role in more detail.
Data Architect in Edinburgh employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment management and wealth sector. Attend industry events or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your previous data architecture projects. Use case studies to demonstrate how you’ve improved data quality and governance. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and industry knowledge. Be ready to discuss your experience with enterprise data solutions and how you've led teams in past roles. Confidence is key, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Architects. By applying directly, you’ll get noticed quicker and can show us your enthusiasm for joining our team.
We think you need these skills to ace Data Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Architect role. Highlight your experience in data architecture, especially within investment management, and showcase any relevant projects that demonstrate your skills.
Showcase Your Skills: Don’t just list your skills; provide examples of how you've applied them in real-world scenarios. Whether it’s designing enterprise data models or leading workshops, we want to see how you’ve made an impact.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Be sure to mention your experience with data governance and analytics.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Nigel Frank
✨Know Your Data Architecture Inside Out
Make sure you brush up on your data architecture principles, especially around data modelling, governance, and analytics. Be ready to discuss how you've applied these in past roles, particularly in investment or wealth management contexts.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems. Think about how you would approach designing a data strategy or improving an investment data ecosystem. Use specific examples from your experience to illustrate your thought process.
✨Showcase Your Leadership Skills
Since this role involves leading engagements and managing teams, be prepared to talk about your leadership style. Share examples of how you've facilitated workshops or influenced senior stakeholders to align on data strategies.
✨Demonstrate Your Business Acumen
This position is all about delivering tangible business outcomes. Be ready to discuss how you've identified cost optimisation opportunities or created value through data solutions in previous roles. Highlight your ability to translate technical details into business benefits.