Posted on: 09/11/2025
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 DatabricksSnowflake 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.
Experience Required :
- 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.
Nice to Have :
- Snowflake SnowPro Advanced (Architect/Data Engineer) certification.
- Hands-on with streaming technologies (Kafka)
- Experience with FinOps dashboards for credit and cost optimization.
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