Principal Data Architect

ABOUT US:

LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.

LSEG is headquartered in the United Kingdom, with significant operations in 70 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.

OUR PEOPLE:

People are at the heart of what we do and drive the success of our business. Our culture of connecting, creating opportunity and delivering excellence shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.

We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.

ROLE SUMMARY:

Own the end-to-end data architecture for the Active Data Layer (ADL) programme across LSEG Risk Intelligence Engineering. Define and evolve the data flows, data models, integration patterns, and data assurance architecture that underpin World-Check's full data lifecycle, from acquisition, through curation, to distribution.

Drive the data assurance strategy, embedding architectural foundations for data quality, lineage, and governance into ADL from the ground up. Partner with the AI Practice Lead to ensure data architecture enables safe, scalable adoption of AI and agentic capabilities. This is a senior IC role leading through influence and deep technical expertise.

WHAT YOU'LL BE DOING:

Data Architecture & Data Flows

• Own the end-to-end data architecture for ADL: target-state designs, canonical data models, data flow patterns, and platform standards across World-Check's full data lifecycle.
• Architect data flows between legacy systems, the new curation platform, and customer-facing distribution channels, ensuring traceability, consistency, and completeness.
• Design the data migration architecture from legacy to the new platform, ensuring data preservation, field mapping correctness, and schema integrity.
• Define event-driven data flow patterns for real-time propagation, including event schemas, ordering guarantees, and idempotency.
• Evaluate and recommend data technologies (event streaming, graph databases, data lakes, lakehouses) appropriate to ADL requirements.

Data Assurance & Quality

• Drive the data assurance strategy within ADL, translating preventive, detective, and corrective control frameworks into architectural components.
• Design data lineage and provenance infrastructure enabling end-to-end traceability from source through curation to publication.
• Architect data contract and schema governance across pipeline boundaries, structurally enforcing schema conformity and API contract compliance.
• Define the data quality measurement architecture: where quality dimensions are measured, how thresholds are evaluated, and how results feed dashboards.
• Design reconciliation architecture supporting regression testing in non-production and continuous reconciliation in production.
• Architect test data management: synthetic data for development, production-representative data for testing, and golden datasets for regression.

AI & Agentic Data Enablement

• Design data pipelines, feature stores, and access patterns for AI/ML model training, evaluation, and serving.
• Architect data foundations for agentic curation: data contracts, schema validation, and lineage capture at agent boundaries.
• Design AI evaluation infrastructure: golden dataset storage, semantic comparison pipelines, and confidence calibration measurement.
• Define data contract and versioning standards supporting rapid AI experimentation with production-grade reliability.

Data Modelling, Governance & Platform

• Lead conceptual, logical, and physical data model design for ADL domains (screening, due diligence, entity resolution, adverse media).
• Partner with data governance and compliance teams to embed data ownership, classification, lineage, and access control into the architecture.
• Architect observability, monitoring, and alerting for production data quality: freshness, completeness, schema drift, and anomaly detection.
• Provide architectural guidance on cloud-native data services, storage strategies, compute scaling, and cost optimisation.

Technical Leadership

• Act as the senior technical voice for data architecture across ADL, translating complex concepts into clear recommendations for engineering, product, and business stakeholders.
• Partner with the AI Practice Lead on feasibility, dependencies, risks, and sequencing for AI initiatives.
• Mentor engineers and data professionals on data modelling, data flow design, and assurance best practices.

WHAT YOU'LL BRING:

Qualifications & Experience

• 10+ years in data architecture or data engineering in complex, large-scale environments; 5+ years in a senior/lead architect capacity.
• Proven experience designing end-to-end data architectures supporting AI/ML, analytics, and real-time data products.
• Deep hands-on experience with modern data platforms (e.g., Snowflake, Databricks, Spark, Kafka, Elasticsearch, graph databases, AWS/Azure/GCP).
• Experience designing data quality and assurance frameworks: data lineage, data contracts, reconciliation, and quality measurement at scale.
• Background in financial services, risk, compliance, or highly regulated data-intensive environments (preferred).
• Experience with large-scale data migration programmes and legacy-to-modern platform transitions (preferred).

Skills & Knowledge

• Data Architecture: Data modelling (conceptual, logical, physical), data flow design, event-driven architectures, integration patterns.
• Data Assurance & Quality: Data lineage, provenance, data contracts, reconciliation, and quality controls embedded across pipelines.
• AI/ML Data Foundations: Feature stores, ML pipelines, vector databases, embeddings, and data requirements for LLM/agentic systems.
• Cloud & Platform: Cloud-native data services, infrastructure-as-code, scalable platform patterns.
• Communication & Influence: Articulating complex decisions to technical and non-technical audiences; influencing without authority.

Nice to Have

• Knowledge graphs, entity resolution, or graph-based models in risk, compliance, or financial crime domains.
• MLOps/LLMOps tooling from a data architecture perspective (feature stores, model registries, eval infrastructure).
• Data assurance or continuous testing frameworks: automated reconciliation, drift detection, quality gate integration into CI/CD.

Career Stage:

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

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