paxos - Data Platform Engineer
Requirements
• 8+ years in data engineering or data platform roles • Deep Snowflake administration experience, including RBAC, warehouses, masking policies, governance tags, network policies, storage integrations, and Snowpipe • Production Terraform experience with module development, state management, and import workflows • Terragrunt for multi-environment infrastructure management • Python proficiency • Strong understanding of data governance, security, and compliance best practices • Active use of AI tools (e.g., Claude, Copilot, Cursor) in your engineering workflow — we expect this person to leverage AI as a productivity multiplier • Experience with the Snowflake Terraform provider snowflakedb/snowflake) • AWS infrastructure (S3, IAM, KMS, Secrets Manager) • GitHub Actions CI/CD pipeline development • Apache Iceberg or open table format experience • Data governance and compliance in regulated industries (fintech, banking, payments) • dbt, Dagster, or similar transformation and orchestration tools • Okta/SCIM integration for identity and access management
Responsibilities
• Develop and maintain Terraform modules for Snowflake account management, including roles, warehouses, databases, grants, and integrations • Implement and manage role-based access controls (RBAC), data governance tags, and dynamic masking policies in Snowflake using Infrastructure as Code • Develop and maintain CI/CD pipelines for Snowflake infrastructure changes using GitHub Actions • Manage Snowflake security configurations including network policies, service accounts, and identity provider integrations • Optimize Snowflake resource utilization, warehouse performance, and cost efficiency • Collaborate with engineering and analytics teams to define and enforce data governance policies and data classification standards • Build monitoring and alerting for infrastructure drift detection and compliance • Contribute to data lake architecture improvements, including open table format adoption (e.g., Apache Iceberg)
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