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London Stock Exchange Group

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Lead Data Architect - News Engineering

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Summary

Lead Data Architect for LSEG's real-time news platform, defining end-to-end data architecture for ingestion, enrichment, storage, indexing, and distribution with sub-second delivery to global customers. Core focus areas include data modeling, schema/contract design, streaming and event-driven architectures, and cloud-native distributed systems.

Overview

As Lead News Data Architect, you shape the real-time data model and platform that powers News at LSEG. You influence end-to-end data architecture for ingestion, enrichment, storage, indexing, and distribution, driving reliable sub-second delivery to customers worldwide. You’ll define data standards, schemas, and contracts, collaborating with engineering to improve signal discoverability and data quality. This role blends hands-on design with technical leadership, enabling platform-wide decisions and long-term strategy. Join a momentum-driven team focused on pragmatic, measurable impact in a mission-critical domain.

Pay / Benefits
  • healthcare
  • retirement planning
  • paid volunteering days
  • wellbeing initiatives
Responsibilities
  • Lead end-to-end data architecture decisions for real-time news ingestion, enrichment, storage, indexing, and distribution
  • Develop data standards, schemas, and contracts for news content, metadata, and derived signals
  • Partner with engineering to normalize metadata and implement industry standards for discoverability
  • Ensure data architectures support observability and lineage while simplifying customer workflows
  • Encourage pragmatic experimentation to improve reliability, performance, or developer experience
  • Influence platform-wide decisions and long-term strategy in collaboration with product and engineering leadership
Key requirements
  • Strong experience as a Data Architect or Technical Architect with large-scale, real-time data systems
  • Deep expertise in data modeling and contract definition
  • Experience designing low-latency, high-throughput architectures
  • Experience with streaming and event-driven architectures
  • Familiarity with cloud-native data platforms and distributed systems
  • Ability to work independently, lead through influence, and communicate ideas clearly
  • clear communication
  • independence and self-starting
  • ability to influence without direct authority
  • data modeling
  • contract definition
  • real-time data systems

Skills

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See also

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