Senior Data Platform Engineer

Senior Data Platform Engineer – Cloud & DevOps

Location: Bangalore, Karnataka, India

Employment Type: Full-time

Work Model: Hybrid

Overview

Senior Data Platform Engineer responsible for building, automating and operating enterprise-scale data platforms across Databricks, Snowflake, Microsoft Fabric and Kubernetes. The role focuses on platform engineering, DevOps automation, reliability, security, observability and self-service enablement.

Key Responsibilities

• Design and support enterprise data platforms across Databricks, Snowflake and Microsoft Fabric.
• Build reusable capabilities for platform onboarding, provisioning, monitoring and governance.
• Manage Kubernetes-based data processing workloads and containerised services.
• Implement high availability, auto-scaling, disaster recovery and resilience.
• Develop CI/CD pipelines and automate platform provisioning and deployments.
• Implement GitOps and Infrastructure as Code using Terraform, Bicep and Helm.
• Establish monitoring, observability and alerting across platform components.
• Troubleshoot production incidents and drive root-cause analysis and remediation.
• Implement RBAC, secrets management, network security and governance controls.
• Support metadata, auditing, lineage and compliance requirements.
• Optimise platform performance, capacity and cloud costs using FinOps practices.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering or related field.
• 5–7 years of experience in Platform Engineering, DevOps, Cloud Engineering or Data Platform Operations.
• Hands-on experience with Databricks, Snowflake or Microsoft Fabric.
• Production Kubernetes and container management experience.
• Strong CI/CD, Infrastructure as Code and cloud-native architecture experience.
• Strong scripting skills using Python, PowerShell, Bash or similar.
• Experience with Agile and DevOps delivery models.

Technical Skills

• Data Platforms: Databricks, Snowflake, Microsoft Fabric, Delta Lake, Data Lakehouse
• Kubernetes: Kubernetes, Docker, Helm, Kustomize
• DevOps: Azure DevOps, GitHub Actions, Jenkins, Git, CI/CD
• Infrastructure as Code: Terraform, Bicep, ARM Templates
• Cloud: Microsoft Azure; AWS/GCP exposure
• Observability: Prometheus, Grafana, Azure Monitor, Log Analytics, OpenTelemetry
• Security: RBAC, Entra ID, Key Vault, secrets management
• Programming: Python, SQL, PowerShell, Bash

Preferred

• Databricks, SnowPro, Microsoft Fabric, CKA or Terraform certifications.
• Experience with Apache Airflow, Kafka, Spark on Kubernetes, Kyuubi, ArgoCD, GitOps, service mesh or platform SRE practices.