Platform Engineer(7-10M salary)

Join a global technology leader as a Data Platform Engineer to build, automate, and operate a scalable, multi-tenant Databricks platform on the cloud that enables enterprise-wide analytics and data-driven innovation. You'll collaborate with cross-functional stakeholders to enhance platform reliability, governance, and self-service capabilities while driving automation and operational excellence across the organization.

Client Details

Our client is a leading global technology company with a large-scale digital ecosystem spanning multiple business domains. They are investing in a modern cloud-based data platform to empower hundreds of engineering, analytics, and data science teams through scalable, secure, and self-service infrastructure.

Description

• Monitor and maintain system reliability and performance.
• Implement and manage infrastructure automation tools.
• Troubleshoot and resolve system issues efficiently.
• Collaborate with cross-functional teams to improve system architecture.
• Ensure adherence to best practices for system security and compliance.
• Optimize system scalability and resource allocation.
• Document processes and prepare technical reports as needed.
• Participate in on-call rotations to address urgent system concerns.

Job Offer

• Opportunity to work in a leading global company.
• Hybrid working arrangement.
• Competitive compensation
• Excellent opportunity for career growth while solving large-scale data platform challenges with real business impact.

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Aahan Rawat on +81368328627.

• 5+ years of experience in Data Engineering, Platform Engineering, Infrastructure Engineering, or a related field, including hands-on DevOps or SRE responsibilities.
• Strong expertise administering Databricks at enterprise scale, including workspace management, cluster policies, Unity Catalog, job orchestration, and governance.
• Experience with cloud platforms (preferably GCP) and services such as IAM, networking, object storage, and cloud cost management.
• Hands-on experience with Infrastructure-as-Code using Terraform and building automated CI/CD pipelines.
• Strong scripting and automation skills in Python and/or Bash/Shell.
• Solid understanding of security best practices, including RBAC, secrets management, network isolation, and audit logging.
• Experience implementing observability, monitoring, alerting, incident response, and SRE best practices.
• Excellent communication skills with the ability to work effectively across engineering, analytics, security, and business stakeholders.
• Comfortable leveraging AI-assisted development tools to improve engineering productivity and automation.