London Stock Exchange · Posted 2d ago
Lead Data Architect (News Engineering)
Job relayed by Stapply Data, its source: you apply there.
- Location
- 🇬🇧 London, United Kingdom
- Contract
- Full-time
- Role
- Platform & databases
- Source
- Stapply Data
Stack
- Elasticsearch
The posting
Join LSEG's News Engineering group as a Lead News Data Architect. In this role, you will define and evolve the data architecture for our real-time news platform, ensuring consistency and quality across the platform. You will work at the intersection of data modeling, metadata standards, and search technologies, and have the opportunity to influence platform-wide decisions and long-term strategy. This position is ideal for hands-on architects who want to be individual contributors and technical leaders.
- 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 to ensure consistency and quality across the platform. - Ensure data architectures support observability and lineage while providing customers with a simple, straight-forward experience for working with News from LSEG.
- This role is ideal for hands‑on architects who want to be individual contributors and technical leaders - Experience with streaming and event‑driven architectures - Experience designing architectures for low‑latency, high‑throughput systems - Ability to work independently, lead through influence, and communicate ideas clearly - Deep expertise in data modeling and contract definition - Familiarity with cloud‑native data platforms and distributed systems - Strong experience as a Data Architect or Technical Architect working with large‑scale, real‑time data systems - Knowledge of news data standards such as NewsML‑G2 or similar structured content formats - Experience defining or implementing canonical data models - Familiarity with data governance, lineage, or data quality frameworks - Understanding search technologies (e.g., Elasticsearch or similar) and how data modeling impacts query performance - Experience working closely with senior product and engineering leaders