Snowflake DB Platform Engineer

Role : Snowflake 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 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.