Databricks Platform Engineer

eTeam is seeking a Databricks Platform Engineer to implement and operationalize core platform capabilities on Databricks running on AWS. This role focuses on frameworks, automation, observability, and reliable delivery aligned to established platform standards.

Responsibilities:

• Implement metadata-driven ingestion frameworks and standard ingestion patterns
• Build batch, incremental, and CDC ingestion pipelines
• Ensure pipelines follow platform standards for configuration, schema evolution, tagging, and error handling
• Implement pipeline monitoring, metrics, and alerting
• Support operational validation, failure simulation, and recovery testing
• Embed data quality rules and quarantine patterns
• Apply Unity Catalog tags (domain, owner, sensitivity, freshness) at ingestion time
• Ensure governance metadata is written to governed schemas
• Build CI/CD pipelines using GitHub Actions
• Support configuration validation, environment promotion, and rollback
• Ensure secret management via AWS Secrets Manager

Requirements:

• 5–8 years data or platform engineering experience
• 3+ years hands-on Databricks experience
• Strong PySpark and SQL
• Experience with Delta Lake, Unity Catalog, Git-based development
• Ingestion framework experience
• Monitoring and alerting implementation
• Production platform support experience