Data Warehouse Architect

Job Description:
Configure, deploy and maintain Databricks clusters and workspaces.
Use Terraform to provision and deploy Databricks clusters, workspaces, and associated AWS resources. Ensure consistency and repeatability by treating infrastructure as code
Monitor cluster performance, resource utilization, and troubleshoot issues to ensure optimal performance.
Implement and manage access controls and security policies to protect sensitive data.
Manage platform feature and software releases and updates.
Provide technical support to Databricks users, including troubleshooting and issue resolution.
Conduct training sessions to educate users on platform best practices and capabilities.
Optimize cluster configurations for performance and cost-effectiveness.
Monitor and manage auto-scaling to ensure resources are allocated efficiently.
Implement and enforce security policies, access controls, and encryption mechanisms.
Stay up-to-date with security best practices and compliance requirements.
Develop and maintain backup and disaster recovery strategies to ensure data integrity and availability.
Collaborate with data engineers to integrate Databricks with other data sources, data warehouses, and data lakes.
Monitor and manage platform costs, including optimizing resource utilization to control expenses.
Maintain detailed documentation of configurations, procedures, and best practices.
Collaborate with cross-functional teams, including data scientists, data engineers, and business analysts to understand their requirements and provide technical solutions

Minimum Qualifications:
Bachelor's degree in a relevant field (computer science, data engineering, etc.)
7+ years of related professional experience.
3 years’ experience with Databricks Lakehouse Platform Architecture on AWS
Strong knowledge of IaC via Terraform HCL, SQL, Python, Apache Spark, Gitlab CI/CD pipelines, MLOps
Proficiency in AWS cloud platforms
Experience in Utility and Energy related business is a plus