Provide senior Databricks and Azure platform expertise to design, implement and evolve /n enterprise-scale data and analytics platforms, ensuring solutions are secure, resilient, /n scalable and aligned to business, regulatory and operational requirements. The resource /n should have deep experience across Azure Databricks, ADLS Gen2, Azure networking, /n identity management and cloud security patterns. /n · Provide technical leadership for the Databricks platform architecture, including /n workspace design, cluster strategy, data storage architecture, security controls, CI/CD /n integration, setting management and platform engineering best practices to support /n current and future business demand. /n · Ensure platform resilience, performance and operational excellence through proactive /n monitoring, capacity planning, cost optimisation, performance tuning,



incident /n management and root cause analysis across development, test and production /n environments. /n · Lead the implementation of platform governance and security controls, including access /n management, Entra ID integration, RBAC, network isolation, private connectivity, /n auditability, data protection and compliance with enterprise architecture and regulatory /n standards. /n · Provide ongoing platform support and technical stewardship, working alongside internal /n engineering teams to resolve complex technical issues, improve platform reliability, /n establish operational standards and ensure effective knowledge transfer and long-term /n platform sustainabilit

📌 Data Engineer (Pune)
🏢 EXL
📍 Pune