Platform Engineer
At a glance
Mid-level Platform & Infrastructure role at Fa Ewjt Saasfaprod1. Chennai · full-time.
Pay not stated Platform Engineer salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build and update data platforms on Azure and Databricks to satisfy security, resilience, scale, and operating needs
- Shape Databricks workspaces, cluster choices, storage, delivery pipelines, security, and environment setup
- Track platform health, forecast capacity, control costs, tune speed, and investigate incidents across development, test, and production
- Establish identity, access, network, audit, and data safeguards that meet governance and compliance needs
- Partner with engineering teams on difficult platform problems, reliability improvements, operating practices, and knowledge sharing
What you bring
- Five to eight years of experience in platform engineering
- Strong experience with Azure Databricks, ADLS Gen2, Azure networking, identity controls, and cloud security approaches
Who this fits
This mid-level hybrid role is based in Chennai. It suits an experienced platform engineer who can guide Databricks architecture and provide technical support to engineering teams.
From the employer
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.
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.
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.
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