Senior Data Architect - Wealth & Asset Management.

6 мес. назад

United KingdomEuropeSeniorHybrid

awsazuregcpdata architectureclouddata modelingenterprise data strategyscalable architecture

Lead and deliver complex data architecture initiatives for Wealth & Asset Management clients, focusing on enterprise data strategies and scalable cloud-based platforms.

Будет плюсом

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 ’s data architecture propositions

Условия

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 goa
Inclusion at 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 , 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 communication will be conducted via a recruiter .

Другое

Location: London (Hybrid) | Practice Area : Data & Analytics | Type: Permanent
Design the blueprint. Architect the future of the Wealth & Asset Management industry. Empower data transformation.
The Role 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 ’s Wealth & Asset Management data architecture propositions and thought leadership in modern, cloud-native data ecosystems.
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.
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.