Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Lead Data Architect

Qurated
City of London
1 week ago
Create job alert

Lead Data Architect – Cloud | Event-Driven | Financial Crime Transformation – London/Edinburgh (Hybrid)


We’re supporting a major financial institution as they modernise the data foundations underpinning their Financial Crime capabilities. This is a unique opportunity to own and define the architectural vision for one of the bank’s most sensitive and high-profile domains driving transformation at scale across an evolving enterprise data landscape.


Operating within the Financial Crime technology organisation, this role blends deep technical expertise with strategic influence. While firmly rooted in technology, it has a significant business-facing component shaping and steering the architecture with stakeholders across risk, compliance, operations, and regulatory engagement.


What You’ll Do

  • Define and own the end-to-end data architecture strategy for Financial Crime
  • Design cloud-native, event-driven architectures that enable scale, resilience, and real-time insights
  • Champion architectural modernisation, from legacy data estates to streaming-first, modular platforms
  • Promote modern data architecture approaches such as data mesh, data federation, and data as a product.
  • Represent architecture in senior governance forums and influence enterprise-wide strategy
  • Lead design conversations, challenge thinking, and bring clarity to ambiguous problem spaces
  • Collaborate cross-functionally with business, product, engineering, and regulatory stakeholders


What We’re Looking For

  • Extensive experience as a Lead or Principal Data Architect in complex enterprise environments
  • Demonstrable thought leadership across data lifecycle management, from data creation to governance
  • Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka
  • Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness
  • Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles
  • Confident communicator with the ability to engage exec-level audiences and cross-functional stakeholders
  • Comfortable navigating ambiguity and leading architecture in domains undergoing rapid simplification and re-platforming
  • Prior experience in Financial Services or Financial Crime is beneficial, but not essential, core architecture credentials and the ability to operate at scale are what matter most


This is a permanent role based in London with hybrid working (2–3 days in the office)

Related Jobs

View all jobs

Lead Data Architect

Lead Data Architect

Lead Data Architect

Lead Data Architect...

Lead Data Architect

Lead Data Architect

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.