Lead Data Platform Engineer

lseg

Bengaluru

On-site

INR 1,500,000 - 1,900,000

Full time

3 days ago
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Job summary

LSEG in Bengaluru is seeking a Senior Lead Data Platform Engineer to design and evolve the next generation data platform for ServiceNow, CMDB and ITSM data. You will implement platform capabilities, improve data quality and governance, and enable downstream teams to consume trusted data efficiently at enterprise scale.

You will collaborate with observability, incident management and change management teams, using Python, cloud-native services and modern data tooling to build scalable,

Qualifications

  • Extensive experience designing and building enterprise data platforms.
  • Strong knowledge of Python, data governance and cloud-native services.
  • Experience with ServiceNow, CMDB or ITSM is a plus.

Responsibilities

  • Design, build and evolve the enterprise data platform for ServiceNow, CMDB and ITSM data.
  • 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.

Skills

Python
Cloud-native services
Data governance
Apache Iceberg
Snowflake
ClickHouse

Tools

Apache Iceberg
Snowflake
ClickHouse
Cloud-native services

Job description

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 pipelines

Key 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 manage
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