Lead Data Platform Engineer

London Stock Exchange Group; India; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

London Stock Exchange Group in Bengaluru seeks a Senior Lead Data Platform Engineer to design and evolve the enterprise data platform for ServiceNow, CMDB and ITSM data, delivering trusted, governed data products at enterprise scale.

You will work with observability, incident management and software change management, mentor engineers and contribute to long-term platform strategy using Python, Iceberg, Snowflake and ClickHouse in AWS/Azure environments.

Qualifications

• 10+ years of experience in data engineering, data platform engineering or large-scale software engineering.
• Strong understanding of data lifecycle management, including lineage, governance, metadata management, temporal data modelling, data quality and historical data management.
• Experience designing, building and operating scalable data platforms and data pipelines.
• Strong Python programming skills and experience building data-intensive applications, services and frameworks.
• Advanced SQL expertise, including performance tuning and optimization of analytical workloads.
• Strong understanding of modern ETL/ELT architectures and data product design principles.
• Strong understanding of software engineering best practices, CI/CD, automated testing and operational excellence.
• Experience driving technical architecture discussions and influencing senior stakeholders.
• Experience leveraging modern developer productivity tools, including GitHub Copilot, Claude, Codex or similar toolchains.
• Excellent problem-solving, collaboration and communication skills.

Responsibilities

• Design, build and evolve the enterprise data platform for ServiceNow, CMDB and ITSM data.
• Design and build reusable data platform capabilities that enable delivery of governed, trusted and discoverable data products at enterprise scale.
• Improve data quality, lineage, metadata management and governance across the platform.
• Enable governed, self-service access to operational data for downstream consumers while minimizing data duplication and silos.
• Partner with teams across observability, incident management and software change management to understand data requirements and deliver platform capabilities.
• Design and implement data lifecycle management capabilities including historical tracking, auditability, traceability and data retention strategies.
• Contribute to platform architecture, engineering standards, reliability and operational excellence.
• Diagnose production incidents, identify root causes and provide expert support for critical platform services.
• Mentor engineers and contribute to the growth of data engineering and platform engineering capabilities across the team.

Skills

Python programming

SQL

Data governance

Data quality

Data modelling

Distributed data platforms

Problem solving

Communication

Tools

Apache Iceberg

Snowflake

ClickHouse

AWS

Azure

GitHub Copilot

Claude

Codex

Job description

## Lead Data Platform EngineerApply: IND-BLR-Divyasree Technopolis: Full time: Posted Today: End Date: October 24, 2026 (16 days left to apply): R0121731**ABOUT US:**LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our customers expect from us. With extensive experience, deep knowledge and worldwide presence across financial markets, we enable businesses and economies around the world to fund innovation, manage risk and create jobs. It’s how we’ve contributed to supporting the financial stability and growth of communities and economies globally for more than 300 years. Through a comprehensive suite of trusted financial market infrastructure services – and our open-access model – we provide the flexibility, stability and trust that enable our customers to pursue their ambitions with confidence and clarity.LSEG is headquartered in the United Kingdom, with significant operations in 65 countries across EMEA, North America, Latin America and Asia Pacific. We employ 25,000 people globally, more than half located in Asia Pacific. LSEG’s ticker symbol is LSEG.**OUR PEOPLE:**People are at the heart of what we do and drive the success of our business. Our values of Integrity, Partnership, Excellence and Change shape how we think, how we do things and how we help our people fulfil their potential. We embrace diversity and actively seek to attract individuals with unique backgrounds and perspectives. We break down barriers and encourage teamwork, enabling innovation and rapid development of solutions that make a difference. Our workplace generates an enriching and rewarding experience for our people and customers alike. Our vision is to build an inclusive culture in which everyone feels encouraged to fulfil their potential.We know that real personal growth cannot be achieved by simply climbing a career ladder – which is why we encourage and enable a wealth of avenues and interesting opportunities for everyone to broaden and deepen their skills and expertise. As a global organisation spanning 65 countries and one rooted in a culture of growth, opportunity, diversity and innovation, LSEG is a place where everyone can grow, develop and fulfil your potential with meaningful careers.**ROLE PROFILE:**At Infrastructure & Cloud Division, our mission is to organize and govern operational data for every application and asset across LSEG. As part of this mission, you will join a team building the next generation data platform for ServiceNow, CMDB and ITSM data.Our goal is to establish a trusted operational data platform for ServiceNow, CMDB and ITSM domains that enables engineering teams across LSEG to consume high-quality, governed data products without creating duplicate datasets or fragmented integrations. This platform serves as the foundation for observability, incident management, software change management, operational analytics and emerging AI-powered capabilities.We are looking for engineers who are passionate about solving complex data challenges and building platforms that make high-quality data accessible, reliable and actionable at enterprise scale.**ROLE Summary:**We are looking for a Senior Lead Data Platform Engineer to help build and evolve the next generation data platform for ServiceNow, CMDB and ITSM data.In this role, you will design and implement platform capabilities that improve data quality, governance, lineage and discoverability while enabling downstream teams to consume trusted data products efficiently and consistently. You will work closely with teams across observability, incident management, software change management and other operational domains to understand their data needs and provide scalable platform solutions.This is a deeply technical, hands-on engineering role focused on modern data platform technologies including Python, cloud-native services, Apache Iceberg, Snowflake and ClickHouse. You will contribute to platform architecture, influence engineering standards, mentor team members and help drive the long-term strategy for operational data across the organization.A key measure of success in this role will be creating platform capabilities that enable multiple engineering domains to consume trusted operational data without creating duplicate datasets or fragmented data pipelinesKey responsibilities will include:* Design, build and evolve the enterprise data platform for ServiceNow, CMDB and ITSM data.* Design and build reusable data platform capabilities that enable delivery of governed, trusted and discoverable data products at enterprise scale.* Improve data quality, lineage, metadata management and governance across the platform.* Enable governed, self-service access to operational data for downstream consumers while minimizing data duplication and silos.* Partner with teams across observability, incident management, software change management and other domains to understand data requirements and deliver platform capabilities.* Design and implement data lifecycle management capabilities including historical tracking, auditability, traceability and data retention strategies.* Contribute to platform architecture, engineering standards, reliability and operational excellence.* Diagnose production incidents, identify root causes and provide expert support for critical platform services.* Mentor engineers and contribute to the growth of data engineering and platform engineering capabilities across the team.Required experience and skill must include:* 10+ years of experience in data engineering, data platform engineering or large-scale software engineering.* Strong understanding of data lifecycle management, including lineage, governance, metadata management, temporal data modelling, data quality and historical data management.* Experience designing, building and operating scalable data platforms and data pipelines.* Strong Python programming skills and experience building data-intensive applications, services and frameworks.* Advanced SQL expertise, including performance tuning and optimization of analytical workloads.* Strong understanding of modern ETL/ELT architectures and data product design principles.* Strong understanding of software engineering best practices, CI/CD, automated testing and operational excellence.* Experience driving technical architecture discussions and influencing senior stakeholders.* Experience leveraging modern developer productivity tools, including GitHub Copilot, Claude, Codex or similar toolchains.* Excellent problem-solving, collaboration and communication skills.Desired experience and skills may have:* Experience working with ServiceNow, CMDB and ITSM datasets.* Experience with Apache Iceberg, Snowflake and/or ClickHouse.* Experience building applications in AWS and/or Azure environments.* Experience implementing data governance, metadata management, lineage or data catalog capabilities.* Experience enabling self-service data consumption and data-sharing patterns at enterprise scale.* Experience working with GitHub, GitLab and modern CI/CD workflows.* Experience mentoring engineers and providing technical leadership across teams.