Staff Platform Engineer

Role & Responsibilities: 

• Administer Snowflake data platform (databases, schemas, warehouses, roles, integrations). 

• Enforce RBAC/security models, masking policies, and data sharing standards. 

• Manage performance tuning (query optimization, clustering, micro-partitioning). 

• Automate provisioning, monitoring, and incident handling using SQL, APIs, Terraform, and CI/CD pipelines. 

• Support and optimize Databricks–Snowflake integrations for ETL/ELT and ML workloads. 

• Ensure Databricks and Snowflake interoperability by managing external tables, Iceberg format, and hybrid storage strategies. 

• Monitor and optimize credit usage, storage costs, and warehouse efficiency (FinOps practices). 

• Ensure compliance with Data privacy and governance frameworks 

Qualifications & Experiences: 

• 8+ years in data engineering, database Administration or data platform engineering. 

• 4+ years of hands-on Snowflake administration in enterprise-scale environments. 

• Strong expertise in Snowflake internals (warehouses, DCR,query optimizer, clustering). 

• Good exposure to Databricks clusters, Delta Lake, and notebooks-based pipelines. 

• Proficiency in SQL, Python/Shell scripting, and automation tools (Terraform, CI/CD). 

• Experience with monitoring, incident management, and platform governance. 

• Knowledge of data governance and security compliance frameworks. 

• Strong analytical and problem-solving abilities. 

• Excellent communication and collaboration skills. 

• Ability to work in fast-paced, agile environments. 

• Proactive, self-driven, and detail-oriented.