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EXL

Platform Engineer

Posted 23 Days Ago
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Hybrid
Chennai, Tamil Nadu, IND
Senior level
Hybrid
Chennai, Tamil Nadu, IND
Senior level
Design, implement, and evolve secure, resilient, enterprise-scale Azure Databricks and data analytics platforms. Lead platform architecture, workspace and cluster strategy, storage design, CI/CD integration, governance, identity, networking, and security controls. Ensure operational excellence through monitoring, capacity planning, cost optimization, performance tuning, incident management, and root-cause analysis. Provide technical stewardship, complex issue resolution, reliability improvements, operational standards, and knowledge transfer across development, test, and production environments.
The summary above was generated by AI

Platform Engineer - 5-8 Years

·  Provide senior Databricks and Azure platform expertise to design, implement and evolve enterprise-scale data and analytics platforms, ensuring solutions are secure, resilient, scalable and aligned to business, regulatory and operational requirements. The resource should have deep experience across Azure Databricks, ADLS Gen2, Azure networking, identity management and cloud security patterns.

·  Provide technical leadership for the Databricks platform architecture, including workspace design, cluster strategy, data storage architecture, security controls, CI/CD integration, environment management and platform engineering best practices to support current and future business demand.

·  Ensure platform resilience, performance and operational excellence through proactive monitoring, capacity planning, cost optimisation, performance tuning, incident management and root cause analysis across development, test and production environments.

·  Lead the implementation of platform governance and security controls, including access management, Entra ID integration, RBAC, network isolation, private connectivity, auditability, data protection and compliance with enterprise architecture and regulatory standards.

·  Provide ongoing platform support and technical stewardship, working alongside internal engineering teams to resolve complex technical issues, improve platform reliability, establish operational standards and ensure effective knowledge transfer and long-term platform sustainability.


Responsibilities

Platform Engineer - 5-8 Years

·  Provide senior Databricks and Azure platform expertise to design, implement and evolve enterprise-scale data and analytics platforms, ensuring solutions are secure, resilient, scalable and aligned to business, regulatory and operational requirements. The resource should have deep experience across Azure Databricks, ADLS Gen2, Azure networking, identity management and cloud security patterns.

·  Provide technical leadership for the Databricks platform architecture, including workspace design, cluster strategy, data storage architecture, security controls, CI/CD integration, environment management and platform engineering best practices to support current and future business demand.

·  Ensure platform resilience, performance and operational excellence through proactive monitoring, capacity planning, cost optimisation, performance tuning, incident management and root cause analysis across development, test and production environments.

·  Lead the implementation of platform governance and security controls, including access management, Entra ID integration, RBAC, network isolation, private connectivity, auditability, data protection and compliance with enterprise architecture and regulatory standards.

·  Provide ongoing platform support and technical stewardship, working alongside internal engineering teams to resolve complex technical issues, improve platform reliability, establish operational standards and ensure effective knowledge transfer and long-term platform sustainability.


Qualifications

Platform Engineer - 5-8 Years

·  Provide senior Databricks and Azure platform expertise to design, implement and evolve enterprise-scale data and analytics platforms, ensuring solutions are secure, resilient, scalable and aligned to business, regulatory and operational requirements. The resource should have deep experience across Azure Databricks, ADLS Gen2, Azure networking, identity management and cloud security patterns.

·  Provide technical leadership for the Databricks platform architecture, including workspace design, cluster strategy, data storage architecture, security controls, CI/CD integration, environment management and platform engineering best practices to support current and future business demand.

·  Ensure platform resilience, performance and operational excellence through proactive monitoring, capacity planning, cost optimisation, performance tuning, incident management and root cause analysis across development, test and production environments.

·  Lead the implementation of platform governance and security controls, including access management, Entra ID integration, RBAC, network isolation, private connectivity, auditability, data protection and compliance with enterprise architecture and regulatory standards.

·  Provide ongoing platform support and technical stewardship, working alongside internal engineering teams to resolve complex technical issues, improve platform reliability, establish operational standards and ensure effective knowledge transfer and long-term platform sustainability.


EXL Chennai, Tamil Nadu, IND Office

Chennai, India

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