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