# Lead Data Engineer at LSEG

LSEG is hiring a Lead Data Engineer in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on LSEG](https://jobsbylevel.com/go/6e68f0a6-e6f2-419f-9214-aa328a40157e?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. IND-Bangalore-TowerE,RMZ Infin.

## Details

- Company: [LSEG](https://jobsbylevel.com/companies/lseg)
- AI level: AI Level 1 (score 10 out of 100)
- Location: IND-Bangalore-TowerE,RMZ Infin
- Posted: November 3, 2026
- Apply: https://jobsbylevel.com/go/6e68f0a6-e6f2-419f-9214-aa328a40157e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=lead-data-engineer-at-lseg-741fb2

## Prepare for this job

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## Description

Job Description Role Overview: We are looking for a strong, hands-on, highly autonomous Lead Data Engineer to design, build, and operate the Service Layer platform that powers enterprise Quote-to-Cash (QTC), customer lifecycle, and finance integrations across strategic enterprise applications. Alongside deep technical contribution, you will provide technical leadership to a team of engineers, driving solution design, engineering excellence, delivery execution, and operational support across multiple integration initiatives. You will be instrumental in building and evolving a cloud-native, event-driven integration platform based on AWS, Kafka, Go and Python, leveraging canonical data models, and asynchronous messaging, while leading the adoption of best practices for architecture, engineering standards, observability, security, and platform reliability. The platform processes high-volume business-critical events while providing end-to-end visibility, reliability, security, and scalability. This role requires deep expertise in distributed systems, event-driven architecture, microservices, data engineering, and cloud-native development. You will contribute to the design and implementation of Service Layer foundation capabilities including messaging, observability, orchestration, data migration, reconciliation, canonical data management, and operational tooling. Key responsibilities: • Own end-to-end technical delivery of key initiatives, ensuring solutions are delivered with quality, scalability, security, and operational readiness. • Lead and mentor a team of engineers, fostering technical excellence, knowledge sharing, and continuous improvement across the team. • Drive architecture and design decisions for event-driven integrations, canonical data models, orchestration frameworks, and platform capabilities. • Define and enforce engineering standards, secure-by-design principles, cloud best practices, data governance and non-functional requirements for resilience, scalability, and supportability. • Design, develop, and operate real-time event-driven integration services using Golang and Python. • Build and enhance the Service Layer platform that orchestrates Quote-to-Cash workflows across enterprise applications. • Design and implement canonical data models, transformation frameworks, validation rules, and integration contracts that standardize communication across multiple business systems. • Design and implement scalable Kafka-based event processing solutions with support for retries, idempotency, sequencing, replay, and fault recovery. • Design and implement large-scale ETL, migration, reconciliation, and data-quality solutions using AWS Glue, Step Functions, Snowflake, PostgreSQL, and ClickHouse. • Design and implement observability, monitoring, alerting, and operational dashboards to enable end-to-end workflow visibility and supportability. • Partner with Product Managers, Architects, Enterprise Data teams, and other cross-functional stakeholders to define technical roadmaps and execution plans. • Lead code reviews, design reviews, technical governance activities, and engineering best-practice adoption across the team. • Drive engineering standards covering software development lifecycle, CI/CD, security, observability, resiliency, and cloud-native architecture patterns. Must Have Skills: • Proven experience leading and mentoring engineering teams, including task planning, technical guidance, code reviews, and delivery management. • Strong experience driving architecture and design decisions for large-scale distributed systems and enterprise integration platforms. • Strong hands-on experience in Golang and Python for building scalable backend services, event-driven integrations, orchestration workflows, and data processing solutions. • Strong experience designing and building cloud-native applications on AWS, including AWS Lambda, API Gateway, S3, RDS/Aurora PostgreSQL, DynamoDB, SQS, SNS, EventBridge, IAM, CloudWatch,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/lead-data-engineer-at-lseg-741fb2

Source: https://jobsbylevel.com/jobs/lead-data-engineer-at-lseg-741fb2

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