Lead Data Engineer

LSEG; Bengaluru; On-site; INR 5,000,000 - 7,500,000; Full time

Job summary

London Stock Exchange Group (LSEG) in Bengaluru is seeking a Lead Data Engineer to design, build, and operate a Service Layer platform powering QTC, customer lifecycle, and finance integrations. You will lead a team of engineers, drive architecture for event-driven workflows, and ensure scalable, secure, observable systems in a cloud-native environment using AWS, Kafka, Go, and Python.

The role emphasizes hands-on development, platform reliability, and collaboration with cross-functional

Qualifications

• Bachelor’s degree in CS/Engineering or related field.
• 10+ years software engineering with cloud-native, data engineering or distributed platforms.
• 5+ years leading engineering teams or as technical lead.
• 5+ years building cloud-native solutions on AWS.

Responsibilities

• Own end-to-end delivery of key initiatives with quality, scalability, and security.
• Mentor a team of engineers and drive technical excellence.
• Lead architecture decisions for event-driven integrations and orchestration.
• Define engineering standards, secure-by-design principles, and observability.
• Design and operate real-time services using Golang and Python.

Skills

Golang

Python

AWS

Kafka

Distributed systems

Data engineering

Event-driven

Education

Bachelor's degree in Computer Science/Engineering

Tools

PostgreSQL

ClickHouse

Snowflake

DynamoDB

S3

Job 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, VPC, and related serverless architecture patterns.
• Experience managing technical delivery across multiple concurrent initiatives while balancing business priorities, technical debt, and platform evolution.
• Strong experience designing and operating event‑driven and asynchronous systems using Kafka, AWS MSK, RabbitMQ, or equivalent messaging technologies.
• Strong understanding of distributed systems architecture, including scalability, resiliency, fault tolerance, idempotency, retry patterns, dead‑letter queues, message replay, and eventual consistency.
• Strong experience with PostgreSQL, ClickHouse, relational databases, and NoSQL databases such as DynamoDB, including data modelling, query optimization, and performance tuning.
• Hands‑on experience designing and implementing RESTful APIs, integration services, and enterprise system interfaces using secure API design principles.
• Experience building and enforcing canonical data models, data contracts, transformation layers, and validation frameworks for enterprise integrations.
• Hands‑on experience building and supporting high‑availability, business‑critical applications on AWS with strong focus on performance, reliability, and operational supportability.
• Experience with CI/CD pipelines, automated testing, code quality, and secure software delivery practices, using tools such as GitLab CI, Jenkins, SonarQube, Trivy, Semgrep etc.
• Experience with observability, monitoring, and operational analytics, using CloudWatch, Grafana, Datadog, Prometheus, OpenTelemetry, or equivalent platforms.
• Strong understanding of cloud security and secure‑by‑design principles, including IAM, OAuth2, JWT authentication, encryption at rest and in transit, Secrets Manager, vulnerability management, audit logging, and compliance controls.
• Strong problem‑solving skills with experience in production support, incident management, root cause analysis, and performance optimization within large‑scale distributed environments.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related discipline.
• 10+ years of software engineering experience, with at least 5+ years focused on cloud‑native, data engineering, integration, or distributed platforms.
• 2+ years of experience leading engineering teams or acting as technical lead for large‑scale enterprise initiatives.
• 5+ years building cloud‑native solutions on AWS.
• 5+ years of experience working with Golang, Python, AWS Service, and Kafka in production environments.
• Proven experience designing, building, and operating highly available enterprise integration and event‑driven platforms.

Nice to have:

• AWS certifications such as AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate, AWS Certified Developer, or equivalent.
• Experience in Quote-to-Cash, CRM, ERP, Customer Lifecycle Management, or Enterprise Data domains.

We’re proud to have been recognised as a Great Place to Work® in India ‘25

Career Stage:

Manager

London Stock Exchange Group (LSEG) Information:

Join us and be part of a team that values innovation, quality, and continuous improvement. If you’re ready to take your career to the next level and make a significant impact, we’d love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.