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Platform Engineer (Data bricks)

📁
Lead Software Engineer
📅
CREQ259125 Requisition #

The Databricks Platform engg is responsible for the administration, reliability,
security, and performance of the enterprise Databricks platform. This role ensures that
Databricks environments are scalable, available, cost efficient, and governed, while
supporting data engineering, analytics, machine learning, and AI workloads across
development, test, and production environments.
Key Responsibilities
 Administer and operate enterprise Databricks workspaces across development, QA,
production, and disaster recovery environments.  Manage Databricks workspace configuration including clusters, jobs, pools, policies,
secrets, and init scripts.  Design, configure, and enforce cluster policies to ensure security, stability, and cost
control.  Manage Databricks compute including autoscaling, instance pools, job clusters, and
all purpose clusters.  Administer Databricks Jobs, Workflows, and scheduling for batch and streaming
workloads.
Managing Databricks workspaces, Unity Catalog (for data governance), and access controls (RBAC).

The Databricks Platform engg is responsible for the administration, reliability,
security, and performance of the enterprise Databricks platform. This role ensures that
Databricks environments are scalable, available, cost efficient, and governed, while
supporting data engineering, analytics, machine learning, and AI workloads across
development, test, and production environments.
Key Responsibilities
 Administer and operate enterprise Databricks workspaces across development, QA,
production, and disaster recovery environments.  Manage Databricks workspace configuration including clusters, jobs, pools, policies,
secrets, and init scripts.  Design, configure, and enforce cluster policies to ensure security, stability, and cost
control.  Manage Databricks compute including autoscaling, instance pools, job clusters, and
all purpose clusters.  Administer Databricks Jobs, Workflows, and scheduling for batch and streaming
workloads.
Managing Databricks workspaces, Unity Catalog (for data governance), and access controls (RBAC).

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