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About the role
As a Databricks Platform Engineer at Spectral Consultants, you will play a crucial role in building, securing, and scaling enterprise data and AI platforms on Azure. Your responsibilities will include platform automation, governance, security, CI/CD enablement, and ensuring operational excellence across Databricks environments. Key Responsibilities: - Build and manage Databricks infrastructure using Terraform and Infrastructure as Code (IaC). - Implement Unity Catalog governance, RBAC, cluster policies, and security controls. - Develop deployment automation using Databricks Asset Bundles and Azure DevOps. - Manage monitoring, audit logging, compliance controls, and platform operations. - Support MLOps, AI/ML initiatives, and enterprise platform enablement. Qualifications Required: - Strong hands-on experience with Databricks, Terraform, Unity Catalog, and Azure. - Experience with Azure DevOps, CI/CD pipelines, Python, and platform automation. - Good understanding of Entra ID, Key Vault, RBAC, networking, and security best practices. - Experience working with large-scale data platforms and governance frameworks. Preferred Skills: - MLOps / GenAI Ops exposure. - Databricks Platform Administrator Certification. - Experience in Pharma, Life Sciences is a plus. This role offers you an excellent opportunity to work on enterprise-scale Data, Analytics, AI, and GenAI platforms while driving cloud automation, governance, and platform modernization initiatives. If you are interested, please share your updated resume or connect directly for more details. As a Databricks Platform Engineer at Spectral Consultants, you will play a crucial role in building, securing, and scaling enterprise data and AI platforms on Azure. Your responsibilities will include platform automation, governance, security, CI/CD enablement, and ensuring operational excellence across Databricks environments. Key Responsibilities: - Build and manage Databricks infrastructure using Terraform and Infrastructure as Code (IaC). - Implement Unity Catalog governance, RBAC, cluster policies, and security controls. - Develop deployment automation using Databricks Asset Bundles and Azure DevOps. - Manage monitoring, audit logging, compliance controls, and platform operations. - Support MLOps, AI/ML initiatives, and enterprise platform enablement. Qualifications Required: - Strong hands-on experience with Databricks, Terraform, Unity Catalog, and Azure. - Experience with Azure DevOps, CI/CD pipelines, Python, and platform automation. - Good understanding of Entra ID, Key Vault, RBAC, networking, and security best practices. - Experience working with large-scale data platforms and governance frameworks. Preferred Skills: - MLOps / GenAI Ops exposure. - Databricks Platform Administrator Certification. - Experience in Pharma, Life Sciences is a plus. This role offers you an excellent opportunity to work on enterprise-scale Data, Analytics, AI, and GenAI platforms while driving cloud automation, governance, and platform modernization initiatives. If you are interested, please share your updated resume or connect directly for more details.
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