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The Databricks Data engg is responsible for the administration, reliability,

security, and performance of the enterprise Databricks platform. This role ensures that

Databricks settings are scalable, available, cost effective, 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.

📌 Architect Sydney (Australia)
🏢 Virtusa
📍 Australia