Snowflake Data Engineer

Job Description Snowflake & Databricks Platform Administrator

Role: Snowflake Admin / Data Platform Administrator
Experience: 6–15 Years
Location: PAN India
Mandatory Skills: Snowflake, Snowflake Cortex, Administration

Job Summary

We are looking for an experienced Snowflake Administrator / Data Platform Engineer with strong expertise in Snowflake administration, Snowflake Cortex, security, performance optimization, automation, and Databricks–Snowflake integration.

The candidate will be responsible for building and managing enterprise-scale Snowflake data platforms, implementing security and governance standards, optimizing performance and costs, and supporting integrations with Databricks for ETL/ELT and ML workloads.

Key Responsibilities

Snowflake Platform Administration

• Build and administer Snowflake databases, schemas, virtual warehouses, roles, integrations, and account-level configurations.
• Manage Snowflake environments across development, testing, and production.
• Configure and maintain RBAC, security models, masking policies, row-level access controls, and data-sharing standards.
• Support and administer Snowflake Cortex capabilities and related platform configurations.

Performance & Optimization

• Perform query performance tuning and optimization.
• Monitor and optimize virtual warehouse utilization and workloads.
• Troubleshoot issues related to clustering, micro-partitioning, query execution, and Snowflake internals.
• Analyze workload patterns and implement performance improvements.

Automation & DevOps

• Automate provisioning, monitoring, deployment, and incident-handling processes.
• Use SQL, Snowflake APIs, Python/Shell scripting, Terraform, and CI/CD pipelines for platform automation.
• Implement infrastructure-as-code and automated deployment practices.
• Develop operational scripts and workflows for recurring administrative activities.

Databricks–Snowflake Integration

• Support and optimize Databricks and Snowflake integrations for ETL/ELT and machine learning workloads.
• Ensure interoperability between Databricks and Snowflake platforms.
• Work with external tables, Iceberg format, Delta Lake, and hybrid storage strategies.
• Support Databricks clusters, notebooks, and data pipelines consuming or writing Snowflake data.

Cost & FinOps

• Monitor and optimize Snowflake credit consumption, storage costs, and warehouse efficiency.
• Identify opportunities for workload and resource optimization.
• Support FinOps dashboards and cost-optimization initiatives.
• Establish best practices for efficient Snowflake resource utilization.

Security, Governance & Compliance

• Implement enterprise data security and governance standards.
• Ensure compliance with applicable data privacy, security, and governance frameworks.
• Manage access reviews, security controls, auditing, and data-sharing governance.
• Support platform governance and compliance assessments.

Monitoring & Production Support

• Monitor platform health, workloads, storage, warehouses, and integrations.
• Handle incidents, troubleshoot production issues, and perform root-cause analysis.
• Support upgrades, configuration changes, maintenance activities, and environment management.
• Work closely with data engineering, ML, security, and application teams.

Experience & Technical Skills

• 6–15 years of overall experience in Data Engineering, Database Administration, or Data Platform Engineering.
• Strong enterprise experience in Snowflake Administration; the detailed requirement calls for 4+ years of hands-on Snowflake administration.
• Strong knowledge of Snowflake architecture and internals.
• Hands-on experience with:
• Snowflake Warehouses
• RBAC & Security
• Query Optimization
• Clustering
• Micro-partitioning
• Data Sharing
• External Tables
• Iceberg
• Snowflake Cortex
• Good experience with Databricks, clusters, Delta Lake, and notebook-based pipelines.
• Proficiency in SQL, Python, and Shell scripting.
• Experience with Terraform and CI/CD automation.
• Experience with monitoring, incident management, troubleshooting, and platform governance.
• Understanding of data governance and security compliance frameworks.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills.
• Ability to work effectively in a fast-paced Agile envir