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LSEG

Global financial market infrastructure and data

Senior Data Platform Administrator

Database Administration +1Confirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

  • Validated experience administering big data platforms in a production environment.
  • Strong understanding of Apache Spark and distributed computing.
  • Experience with cloud platforms; Azure is preferred.
  • Familiarity with Unity Catalog, Delta Lake, and Lakehouse architecture.
  • Proficiency in Python, SQL, and shell scripting.
  • Experience with CI/CD tools and infrastructure-as-code; Terraform is required.
  • Problem-solving and interpersonal skills.

Responsibilities

  • Administer, maintain, and optimize the Databricks and Azure cloud-based data platform environment, including workspaces, clusters, jobs, and instance pools.
  • Ensure platform reliability, availability, and performance through proactive monitoring, alerting, capacity planning, and operational excellence practices.
  • Monitor and optimize platform utilization and cloud costs while maintaining performance and scalability.
  • Implement and handle security controls, role-based access control (RBAC), audit logging, and compliance with enterprise governance standards.
  • Develop and maintain infrastructure-as-code using Terraform and CI/CD pipelines using DevOps tools, GitHub Actions, or GitLab.
  • Automate platform provisioning, cluster lifecycle management, job orchestration, and routine operational tasks.
  • Provide production support for data engineers, data scientists, and analysts, resolving incidents and service requests in a timely manner.
  • Troubleshoot platform issues, Spark workloads, job failures, performance bottlenecks, and integration challenges.
  • Establish and maintain site reliability engineering (SRE) practices, including service-level agreements (SLAs), service-level objectives (SLOs), error budgets, incident management, root cause analysis, and continuous service improvement.
  • Design and maintain observability solutions, including monitoring dashboards, logging, and alerting frameworks.
  • Support high availability, disaster recovery, backup, patching, and platform upgrade activities.
  • Integrate Databricks with enterprise systems and services, including Azure Data Lake, Power BI, Dataverse, and other cloud-native technologies.
  • Collaborate with data engineering, architecture, security, and operations teams to deliver secure, scalable, and resilient data platform solutions.
  • Support Lakehouse architecture capabilities, including Unity Catalog, Delta Lake, governance, and data management best practices.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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