Senior Data Platform Engineer

Overview

Senior Data Platform Engineer to build, automate, and operate enterprise-scale data platforms for data engineering and analytics teams.

What you'll do

• Design, implement, and support enterprise data platforms using Databricks, Snowflake, and Microsoft Fabric.
• Build reusable platform capabilities for self-service onboarding, provisioning, monitoring, and governance.
• Deploy and operate Kubernetes-based platform services for data processing workloads.
• Develop CI/CD pipelines and automated deployment/configuration management for platform services.
• Implement monitoring, observability, and alerting; drive reliability, stability, and performance improvements.
• Apply security and governance controls including RBAC, secrets management, and network security.
• Optimize platform cost and capacity across Databricks, Snowflake, Fabric, and Kubernetes resources.

What you'll need

• 5-7 years of experience in Platform Engineering, DevOps, Cloud Engineering, or Data Platform Operations.
• Strong experience supporting Databricks, Snowflake, or Microsoft Fabric platforms.
• Experience managing Kubernetes-based workloads in production environments.
• Hands-on experience with CI/CD, Infrastructure as Code, and cloud-native architectures.
• Strong scripting/automation experience using Python, PowerShell, Bash, or similar languages.
• Required degree: Bachelor’s in Computer Science, Information Systems, Engineering, or related field.
• Experience working within Agile and DevOps delivery models.

Details

• Location: Asia Pacific, India, Karnataka, Bangalore.
• Work location: Hybrid.