Azure Databricks Platform Engineer - Insurance Data Infrastructure
Location : Pune / Bangalore / Mumbai / Chennai / Hyderabad / Gurugram
Band : M3 / M4 (7 to 14 years)
Key Responsibilities :
- Azure Databricks Platform Engineering - Design, deploy, and manage secure, scalable, and high-performance Databricks environments for insurance data processing and analytics.
- Cloud Integration - Collaborate with architects, engineers, and security teams to establish infrastructure standards and ensure connectivity with legacy systems, cloud-native data sources, and third-party platforms.
- Infrastructure as Code (IaC) - Implement automated provisioning and configuration of Azure and Databricks resources using Terraform, supporting enterprise DevOps practices.
- Automation & CI / CD - Build and maintain GitHub Actions-based automation pipelines for environment deployment, monitoring, and incident response to ensure consistency, traceability, and efficiency.
- Performance & Scalability - Monitor platform health, optimize cluster utilization, and conduct tuning to ensure reliability, scalability, and cost efficiency for mission-critical workloads.
- Security & Compliance - Enforce enterprise and regulatory standards (RBAC, Key Vault, Managed Identities, Encryption, PDPO, GDPR, insurance compliance).
- Data Governance - Lead integration of Informatica tools for metadata management, cataloguing, lineage tracking, and compliance across the platform.
- Documentation & Governance - Prepare infrastructure architecture diagrams, network topology, security configurations, and runbooks for governance, audits, and operational readiness.
- Incident Management - Troubleshoot platform and infrastructure issues, perform RCA, and drive continuous improvements to enhance reliability.
- Innovation & Best Practices - Stay up to date with Azure, Databricks, and DevOps advancements, proactively recommending enhancements for platform efficiency and business value.
Requirements :
Bachelor's degree in Computer Science, IT, or related field (Master's preferred).7-14 years of experience in Azure cloud engineering, with at least 5+ years specialized in Databricks platform management.Proven expertise in provisioning and managing Databricks clusters & workspaces for processing structured, semi-structured, and unstructured data in insurance / banking domains.Hands-on experience integrating Azure Data Factory (ADF) and Azure Data Lake Storage Gen2 with Databricks for automated ETL / ELT pipelines.Strong proficiency in Infrastructure as Code (Terraform) for automated deployments and resource management.Experience deploying and integrating Informatica solutions for metadata, lineage, and governance in large-scale data ecosystems.Deep knowledge of cloud security, identity & access management, encryption, and compliance frameworks in regulated industries (insurance / financial services preferred).Practical expertise in GitHub Actions or similar CI / CD tools for platform automation and DevOps workflows.Proven ability in troubleshooting, performance optimization, and incident management for high-availability data platforms.Excellent documentation, collaboration, and stakeholder communication skills, with experience supporting both technical and business users.(ref : hirist.tech)