This is a remote position.

Project / Requirement Overview

We are looking for a Senior Platform Engineer to build and manage scalable, cloud-native data platforms on GCP. The role focuses on platform engineering, governance, automation, and secure data access.

Key Responsibilities

Platform Engineering:

• Design and develop cloud-native platform foundations on GCP
  
• Create reusable templates for data storage, access control, and environments
  
• Enable self-service onboarding for data teams
  

Identity & Access Management:

• Integrate Okta with GCP IAM and Snowflake
  
• Implement SSO, RBAC, and least privilege access
  
• Automate user provisioning and lifecycle management
  

Governance & Security:

• Implement PII tagging, masking, and column-level security
  
• Work with BigQuery policy tags and Snowflake tagging
  
• Ensure compliance, governance, and auditability
  

Automation:

• Automate provisioning, access control, and metadata management
  
• Utilize Terraform, Python, SQL, and CI/CD pipelines
  

Observability:

• Monitor platform usage, access, and data quality
  
• Build alerting, logging, and audit mechanisms
  

Required Skills

• GCP (BigQuery, GCS, IAM)
  
• Snowflake (RBAC, governance, performance tuning)
  
• BigQuery (policy tags, partitioning, external tables)
  
• Okta (SSO, federation, lifecycle management)
  
• Python, SQL, Terraform
  
• CI/CD tools (Bitbucket preferred)
  

Good to Have

• Apache Iceberg / BigLake
  
• Cross-platform data sharing (Snowflake ↔ BigQuery)
  
• Data observability tools
  
• Metadata management systems
  

Experience

• 8+ years in platform or data engineering
  
• 3+ years in cloud-based data platforms
  
• Experience working in enterprise-scale environments