Lead Data Engineer
London Stock Exchange Group (LSEG) (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 30–55 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end technical delivery of a cloud-native, event-driven integration platform supporting enterprise Quote-to-Cash workflows with focus on quality, scalability, security, and operational readiness.
- Provide technical leadership and mentoring to a multi-engineer team driving architecture, standards, and delivery across event-driven microservices using Golang, Python, Kafka, and AWS.
- Design, develop, and operate core foundation capabilities including messaging, canonical data models, orchestration, data migration, reconciliation, and observability tooling.
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, IT, or related field.
- 10+ years software engineering experience; minimum 5+ years in cloud-native, data engineering, integration, or distributed platforms.
- At least 2+ years leading engineering teams or as a technical lead on large-scale enterprise projects.
- Strong hands-on experience with Golang, Python, AWS cloud services (Lambda, API Gateway, S3, RDS/Aurora, DynamoDB, Kafka), and event-driven distributed system architecture.
Ideal Candidate Profile
- Experienced in leading technical delivery and architecting large-scale, enterprise integration platforms in highly available, event-driven environments.
- Proficient operating across concurrent initiatives balancing business priorities, technical debt, and platform evolution with strong focus on reliability, security, and operational supportability.
- Deep expertise in distributed systems, microservices, cloud-native development on AWS, and driving engineering best practices including CI/CD, secure software delivery, observability, and data governance.