Axelon
Data Infrastructure Engineer
Axelon, Seattle, Washington, us, 98127
Job Title: Data Infrastructure Engineer
Location: Seattle WA (Hybrid)
Pay Rate: $65/hr
Mandatory Skills
Terraform Iac Snowflake Job Description: • Capacity planning, configure, deploy and maintain Databricks clusters, workspaces and Snowflake infrastructure on Azure cloud • Use Terraform to automate provisioning and deploy Databricks clusters, workspaces, Snowflake and associated Azure resources. Ensure consistency and repeatability by treating infrastructure as code • Monitor and optimize Databricks cluster performance and Snowflake resource utilization, troubleshoot issues to ensure optimal performance and cost-effectiveness. • Implement and manage access controls and security policies to protect sensitive data. • Develop environment strategies across the technology stack and governance based on best practices • Provide technical support to Databricks and Snowflake users, including troubleshooting and issue resolution. • Implement and enforce security policies, RBAC, access controls, and encryption mechanisms. • Develop and maintain backup and disaster recovery strategies to ensure data integrity and availability. • Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts to understand their requirements and provide technical solutions • Data Governance and Quality Management: Create and enforce data governance standards, ensuring robust data quality and compliance through tools such as Databricks Unity Catalog, Collibra and Snowflake Polaris. • Enforce data governance, data quality, and enterprise standards, supporting a robust production environment
Mandatory Skills
Terraform Iac Snowflake Job Description: • Capacity planning, configure, deploy and maintain Databricks clusters, workspaces and Snowflake infrastructure on Azure cloud • Use Terraform to automate provisioning and deploy Databricks clusters, workspaces, Snowflake and associated Azure resources. Ensure consistency and repeatability by treating infrastructure as code • Monitor and optimize Databricks cluster performance and Snowflake resource utilization, troubleshoot issues to ensure optimal performance and cost-effectiveness. • Implement and manage access controls and security policies to protect sensitive data. • Develop environment strategies across the technology stack and governance based on best practices • Provide technical support to Databricks and Snowflake users, including troubleshooting and issue resolution. • Implement and enforce security policies, RBAC, access controls, and encryption mechanisms. • Develop and maintain backup and disaster recovery strategies to ensure data integrity and availability. • Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts to understand their requirements and provide technical solutions • Data Governance and Quality Management: Create and enforce data governance standards, ensuring robust data quality and compliance through tools such as Databricks Unity Catalog, Collibra and Snowflake Polaris. • Enforce data governance, data quality, and enterprise standards, supporting a robust production environment