Platform Engineer

Posted Yesterday
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Chennai, Tamil Nadu, IND
Hybrid
Senior level
Information Technology • Database • Consulting
The Role
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.
Summary Generated by Built In

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.


Skills Required

  • 5-8 years of experience as a Platform Engineer or in a comparable platform engineering role
  • Deep experience with Azure Databricks
  • Experience with ADLS Gen2
  • Experience with Azure networking
  • Experience with identity management and cloud security patterns
  • Experience designing Databricks workspaces, cluster strategies, and data storage architectures
  • Experience implementing security controls, CI/CD integration, and environment management
  • Experience with Entra ID integration and RBAC
  • Experience with network isolation, private connectivity, auditability, data protection, and regulatory compliance
  • Experience with monitoring, capacity planning, cost optimization, performance tuning, incident management, and root-cause analysis
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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