raag solutions
Databricks Platform Administrator (w2)
raag solutions, Cincinnati, Ohio, United States, 45208
Databricks Platform Administration
Deploy, configure, and maintain
Azure Databricks workspaces Manage
clusters ,
pools , and
jobs
for optimal performance. Handle
Databricks Runtime upgrades
and compatibility testing. Configure
Databricks notebooks, Repos, and Delta Lake
for efficient workflows. Security & Access Control:
Implement
Identity and Access Management (IAM)
using
Azure AD / Azure IAM / SCIM . Set up and enforce
Role-Based Access Control (RBAC)
and
network security . Ensure compliance with
data governance policies
(Unity Catalog, creation of Catalogs, schema etc.). Applying grants of catalogs and schemas Manage
personal access tokens (PATs)
and
OAuth-based authentication . Performance Monitoring & Optimization:
Monitor
cluster performance, auto-scaling, and cost optimization . Analyze and fine-tune
Spark jobs
to improve execution efficiency. Use
Databricks SQL
for querying and performance diagnostics. Integration & Automation:
Integrate Databricks with
Azure Data Factory, Synapse, Snowflake, Kafka, and other data sources . Automate cluster management using
Terraform. Implement CI/CD pipelines for
Databricks notebooks
using
GitHub or Azure DevOps . Troubleshooting & Support:
Investigate and resolve
job failures, cluster crashes, and query performance issues . Provide
L2/L3 support
for Databricks infrastructure issues. Collaborate with
Databricks support
for bug fixes and escalations.
Azure Databricks workspaces Manage
clusters ,
pools , and
jobs
for optimal performance. Handle
Databricks Runtime upgrades
and compatibility testing. Configure
Databricks notebooks, Repos, and Delta Lake
for efficient workflows. Security & Access Control:
Implement
Identity and Access Management (IAM)
using
Azure AD / Azure IAM / SCIM . Set up and enforce
Role-Based Access Control (RBAC)
and
network security . Ensure compliance with
data governance policies
(Unity Catalog, creation of Catalogs, schema etc.). Applying grants of catalogs and schemas Manage
personal access tokens (PATs)
and
OAuth-based authentication . Performance Monitoring & Optimization:
Monitor
cluster performance, auto-scaling, and cost optimization . Analyze and fine-tune
Spark jobs
to improve execution efficiency. Use
Databricks SQL
for querying and performance diagnostics. Integration & Automation:
Integrate Databricks with
Azure Data Factory, Synapse, Snowflake, Kafka, and other data sources . Automate cluster management using
Terraform. Implement CI/CD pipelines for
Databricks notebooks
using
GitHub or Azure DevOps . Troubleshooting & Support:
Investigate and resolve
job failures, cluster crashes, and query performance issues . Provide
L2/L3 support
for Databricks infrastructure issues. Collaborate with
Databricks support
for bug fixes and escalations.