Senior Platform Engineer Azure

Role: Senior Platform Engineer Azure Location: Pan India Experience: 7+ Years Immediate Joiners Only Job Description: Key Responsibilities 1. Platform Engineering & Enablement Design and build cloud-native data platforms using Azure Databricks Enable platform capabilities for data ingestion, transformation, and analytics Standardize reusable platform frameworks and services Support onboarding of new data products and use cases ________________________________________ 2. Infrastructure & Environment Management Provision and manage Dev, Test, and Prod environments in Azure Implement infrastructure-as-code (Terraform / ARM templates) Manage Databricks workspaces, clusters, and storage integrations (ADLS) Ensure environment isolation, scalability, and cost optimization Enterprise platforms require environment isolation, governance, and standardized provisioning [Azure_Data.m_Handover | PDF] ________________________________________ 3. CI/CD & Automation Build and maintain CI/CD pipelines for platform and data workloads Automate deployment, environment promotion, and release management Enable DevOps practices for Data Engineering and AI pipelines Reduce manual operations through automation and self-service capabilities ________________________________________ 4. Observability, Monitoring & Reliability Implement monitoring, logging, and alerting frameworks Ensure platform reliability through: o Incident management o Root cause analysis (RCA) o Performance tuning Build dashboards for system health, usage, and cost tracking Platform roles require monitoring, instrumentation, and proactive issue resolution for production systems [Cloud Plat.gineer, Sr | Word] ________________________________________ 5. Security, Governance & Compliance Implement RBAC, access control, and data security policies Enforce governance using Unity Catalog / Purview Ensure compliance with HIPAA, HITRUST, and enterprise policies Support auditability, lineage, and secure data access patterns ________________________________________ 6. Collaboration & Stakeholder Engagement Partner with: o Data Engineering o AI/ML Engineering o Architecture and Security teams Enable a self-service platform for engineering teams Support enterprise programs with stable and scalable platform infrastructure ________________________________________ Required Skills Strong experience with: o Azure Databricks (Mandatory) o Azure Cloud Services (ADF, ADLS, Synapse, Key Vault) Hands-on expertise in: o Infrastructure-as-Code (Terraform preferred) o CI/CD tools (Azure DevOps, GitHub) o Cluster management, compute optimization, and cost control Experience with: o Monitoring tools (Azure Monitor, logging frameworks) o Platform automation and DevOps practices ________________________________________ Preferred Skills Experience with: o DataOps / MLOps platform enablement o Multi-cloud environments (Azure + GCP/Snowflake) Familiarity with: o Medallion architecture (BronzeSilverGold) o Streaming / real-time processing frameworks ________________________________________ Domain Experience (Good to Have) Experience in US Healthcare domain: o Claims, Member, Provider data Understanding of: o Regulatory and compliance-driven data environments Role: Senior Platform Engineer Azure Location: Pan India Experience: 7+ Years Immediate Joiners Only Job Description: Key Responsibilities 1. Platform Engineering & Enablement Design and build cloud-native data platforms using Azure Databricks Enable platform capabilities for data ingestion, transformation, and analytics Standardize reusable platform frameworks and services Support onboarding of new data products and use cases ________________________________________ 2. Infrastructure & Environment Management Provision and manage Dev, Test, and Prod environments in Azure Implement infrastructure-as-code (Terraform / ARM templates) Manage Databricks workspaces, clusters, and storage integrations (ADLS) Ensure environment isolation, scalability, and cost optimization Enterprise platforms require environment isolation, governance, and standardized provisioning [Azure_Data.m_Handover | PDF] ________________________________________ 3. CI/CD & Automation Build and maintain CI/CD pipelines for platform and data workloads Automate deployment, environment promotion, and release management Enable DevOps practices for Data Engineering and AI pipelines Reduce manual operations through automation and self-service capabilities ________________________________________ 4. Observability, Monitoring & Reliability Implement monitoring, logging, and alerting frameworks Ensure platform reliability through: o Incident management o Root cause analysis (RCA) o Performance tuning Build dashboards for system health, usage, and cost tracking Platform roles req