Own the end-to-end data architecture for the Active Data Layer (ADL) programme across LSEG Risk Intelligence Engineering, defining data flows, models, and integration patterns
Job Summary
Own the end-to-end data architecture for the Active Data Layer (ADL) programme across LSEG Risk Intelligence Engineering, defining data flows, models, and integration patterns.
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, acting as a senior IC leading through influence and deep technical expertise.
Matching Summary
Own the end-to-end data architecture for the Active Data Layer (ADL) programme across LSEG Risk Intelligence Engineering, defining data flows, models, and integration patterns.
Skills & Requirements
Must-have
end-to-end data architecture
data lineage and provenance
event-driven data flow patterns
data quality measurement architecture
AI/ML model training data pipelines
Nice-to-have
knowledge graphs in risk domains
MLOps/LLMOps tooling perspective
automated reconciliation frameworks
Key Requirements
10+ years in data architecture or engineering
5+ years in senior/lead architect capacity
Experience designing data quality and assurance frameworks
Experience with modern data platforms (Snowflake, Databricks, Kafka, etc.)