Job Summary We are looking for a Platform Engineer with hands-on experience in Snowflake and Databricks to support enterprise data platform operations. The candidate will be responsible for platform administration, security, governance, access management, automation, troubleshooting, and production support across cloud-based data platforms. Key Responsibilities • Administer and support Snowflake and Databricks platforms, ensuring high availability, security, and operational excellence. • Manage user provisioning, RBAC, access governance, and permissions across Snowflake, Databricks, and integrated enterprise systems. • Administer Snowflake warehouses, databases, schemas, roles and Databricks workspaces, clusters, SQL Warehouses, Unity Catalog, jobs, and workflows. • Monitor platform performance, resource utilization, and costs, and proactively identify opportunities for optimization. • Troubleshoot and resolve platform-related incidents, perform root cause analysis, and ensure timely issue resolution within SLA commitments. • Support Data Engineering teams in deploying, maintaining, and troubleshooting ETL/ELT pipelines and analytics workloads. • Implement and maintain security, compliance, audit, and governance controls across enterprise data platforms. • Implement and support end-to-end Disaster Recovery on Databricks and Snowflake platform • Develop automation solutions using SQL, Python, APIs, and scripting to improve operational efficiency and reduce manual effort. • Support CI/CD, release management, and deployment activities using Git, Azure DevOps, and related tools. • Collaborate with Data Engineering, Analytics, Security, Infrastructure, and Business teams to deliver scalable, reliable, and secure data platform solutions Required Technical Skills • Snowflake • Databricks • Unity Catalog • SQL • Python • RBAC & Access Governance • Git / Azure DevOps • Production Support Good to Have • Azure • Spark • CI/CD • Terraform Qualifications • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline. • 3-5 years of experience in Platform Engineering, Data Platform Administration, Data Engineering, or related fields. Key Competencies • Strong problem-solving and analytical skills • Excellent communication and stakeholder management • Ability to work independently and take ownership • Strong collaboration and teamwork skills • Adaptability and continuous learning mindset