Azure Databricks Admin

"Azure Administration & Operations
Administer and maintain Azure subscriptions, resource groups, and cloud infrastructure to ensure stability, security, and performance.
Implement governance standards including RBAC, resource policies, tagging standards, cost management, and access controls.
Perform day-to-day operational support such as incident handling, service requests, change management, and root cause analysis (RCA).
Maintain documentation, runbooks, SOPs, and operational best practices.
Azure Databricks Administration
Manage Databricks workspaces, clusters, pools, and job scheduling.
Configure and maintain workspace access, permissions, secrets scope, and integration with Azure services (Storage/Key Vault).
Monitor cluster performance, troubleshoot job failures, and optimize resource usage and cost.
Support CI/CD and environment promotion strategies for notebooks/jobs (where applicable).
Azure SQL Server Administration
Provision, manage, and administer Azure SQL Database / SQL Managed Instance (as applicable).
Configure backups, restore strategies, performance tuning, indexing, and query optimization.
Implement security best practices: auditing, encryption, firewall rules, private endpoints (if required), access control, and vulnerability assessment.
Handle SQL monitoring, capacity management, and high availability configurations.
Azure Database Engineer (Operations Focus)
Support database lifecycle management, patching, upgrades, and reliability.
Ensure data integrity, availability, and optimal performance for platform workloads.
Collaborate with data engineering teams on best practices for data operations.
Azure Data Factory (ADF) Administration
Administer ADF instances including pipelines, triggers, linked services, integration runtime (self-hosted or Azure IR).
Monitor pipeline runs, troubleshoot failures, manage alerts, and handle performance and reliability issues.
Support release management and environment movement (Dev → QA → Prod) using best practices.
Azure Storage Account Administration / Explorer
Manage Storage Accounts (Blob/File/Queue/Table) including lifecycle policies, replication, access tiers, and performance.
Implement access control using SAS, RBAC, and managed identities.
Support usage and operations via Azure Storage Explorer for investigation, validation, and troubleshooting.
Implement and maintain secure access patterns (private endpoints, firewall rules as required)."

- Azure/GCP/Databricks administration & Operations

A day in the life of an Infoscion
Azure Administration & Operations
Administer and maintain Azure subscriptions, resource groups, and cloud infrastructure to ensure stability, security, and performance.
Implement governance standards including RBAC, resource policies, tagging standards, cost management, and access controls.
Perform day-to-day operational support such as incident handling, service requests, change management, and root cause analysis (RCA).
Maintain documentation, runbooks, SOPs, and operational best practices.
Azure Databricks Administration
Manage Databricks workspaces, clusters, pools, and job scheduling.
Configure and maintain workspace access, permissions, secrets scope, and integration with Azure services (Storage/Key Vault).
Monitor cluster performance, troubleshoot job failures, and optimize resource usage and cost.
Support CI/CD and environment promotion strategies for notebooks/jobs (where applicable).
Azure SQL Server Administration
Provision, manage, and administer Azure SQL Database / SQL Managed Instance (as applicable).
Configure backups, restore strategies, performance tuning, indexing, and query optimization.
Implement security best practices: auditing, encryption, firewall rules, private endpoints (if required), access control, and vulnerability assessment.
Handle SQL monitoring, capacity management, and high availability configurations.
Azure Database Engineer (Operations Focus)
Support database lifecycle management, patching, upgrades, and reliability.
Ensure data integrity, availability, and optimal performance for platform workloads.
Collaborate with data engineering teams on best practices for data operations.