Senior Data Architect - Wealth & Asset Management.

Senior Data Architect - Wealth & Asset Management.

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Dormont Manufacturing Co

At a Glance

  • Tasks: Lead data architecture initiatives and empower data transformation in Wealth & Asset Management.
  • Company: Capco, a forward-thinking consultancy shaping the future of financial services.
  • Benefits: Competitive salary, flexible holidays, mental health support, and continuous learning opportunities.
  • Other info: Join a collaborative culture that values individuality and offers excellent career growth.
  • Why this job: Make a real impact on digital transformation for top-tier financial institutions.
  • Qualifications: Experience in data architecture and cloud engineering within financial services.

The predicted salary is between 70000 - 90000 £ per year.

Location: Edinburgh (Hybrid) | Practice Area: Data & Analytics | Type: Permanent

Design the blueprint. Architect the future of the Wealth & Asset Management industry. Empower data transformation.

The Role

Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our Wealth & Asset Management clients. In this senior consulting role, you will guide wealth managers, asset managers, and private banks through large-scale data transformation journeys – defining enterprise data strategies, designing target architectures, and building scalable, cloud-based platforms that support advisor and client experiences, investment analytics, regulatory reporting, and operational efficiency. Alongside client delivery, you will contribute to evolving Capco’s Wealth & Asset Management data architecture propositions and thought leadership in modern, cloud-native data ecosystems.

What You’ll Do

  • Lead agile consulting engagements delivering modern data architecture and cloud transformation across Wealth & Asset Management.
  • Define and implement scalable enterprise data strategies spanning programmes and business units.
  • Design canonical WAM data domains and models (client/household, portfolio/account, holdings/transactions, instruments & pricing, performance, fees).
  • Architect and deliver cloud-native data platforms (AWS, Azure, GCP) enabling advisor/client journeys and advanced investment analytics (risk, performance, reporting).
  • Define integration patterns across core WAM platforms (CRM/advisor, OMS/PMS, wealth back office, custody, market/reference data, reporting).
  • Establish robust data quality, reconciliation, and control frameworks (e.g., holdings vs. books & records/AUM, pricing, corporate actions, fees/NAV).
  • Drive master and reference data strategies (clients, instruments, counterparties, legal entities) aligned to governance, metadata, privacy, and stewardship.
  • Act as a subject matter expert, translating complex technical concepts into clear business value for senior stakeholders.

What We’re Looking For

  • Proven experience delivering enterprise data architecture and cloud data engineering, including platform design within Wealth & Asset Management environments.
  • Deep knowledge of contextual, logical, and physical data modelling practices applied across Front Office, Investments, Operations, and Risk/Compliance domains.
  • Strong understanding of core WAM data concepts (client/householding, suitability & risk profiling, holdings/positions, trade lifecycle, pricing, performance, fees).
  • Hands‑on experience with cloud‑based data ecosystems (AWS, Azure, GCP) and modern data stacks, including cloud migration and transformation programmes.
  • Experience integrating and architecting around key WAM platforms and data sources (CRM, OMS/PMS/wealth back office, custody/fund accounting, Bloomberg/market data, reporting layers).
  • Understanding of data management tooling, security frameworks, and control environments within regulated financial services.
  • Exposure to WAM regulatory and ESG requirements (MiFID II, SFDR, PRIIPs/KIDs, FATCA) and their impact on data models, lineage, and controls.
  • Strong communication skills, able to engage and influence stakeholders across both technical and non‑technical teams.

Bonus Points For

  • Data or cloud architecture certifications (e.g., AWS, Azure, GCP, Databricks).
  • Experience in data lake design and large‑scale data migrations.
  • Familiarity with graph computing and semantic data modelling.
  • Background in Financial Services with stakeholder management in complex environments.
  • Ability to lead teams and contribute to the development of Capco’s data architecture propositions.

Why Join Capco

  • Deliver high‑impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across FS & Energy.

We offer a competitive, people‑first benefits package designed to support every aspect of your life:

  • Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
  • Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in‑house first aiders.
  • Family‑Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
  • Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
  • Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
  • Continuous Learning: Minimum 40 Hours of Training Annually: Take your pick - workshops, certifications, e‑learning - your growth, your way. Also, Business Coach assigned from Day One: Get one‑on‑one guidance to fast‑track your goals and accelerate your development.
  • Healthcare Access: Convenient online GP services.
  • Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

Senior Data Architect - Wealth & Asset Management. employer: Dormont Manufacturing Co

Capco is an exceptional employer, offering a dynamic and collaborative work culture that empowers employees to lead transformative data architecture initiatives in the Wealth & Asset Management sector. With a strong focus on continuous learning and professional development, employees benefit from a comprehensive training programme, competitive benefits, and a supportive environment that values individuality and fosters innovation. Located in Edinburgh, Capco provides a unique opportunity to shape the future of digital financial services while enjoying a flexible work-life balance.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Architect - Wealth & Asset Management.

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Architect - Wealth & Asset Management. at Dormont Manufacturing Co.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.

Apply Directly through Our Website

When you find a suitable opening like Senior Data Architect - Wealth & Asset Management. at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Architect - Wealth & Asset Management.

Data Architecture
Cloud Data Engineering
Enterprise Data Strategies
Data Modelling
Cloud Platforms (AWS, Azure, GCP)
Data Integration
Data Quality Frameworks

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Dormont Manufacturing Co

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.