Source description
About the role
Qualifications
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Minimum Requirements:
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8 years of:
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Experience administering Databricks workspaces in a cloud environment - AWS
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Strong understanding of Databricks cluster configuration, job scheduling, and workspace management.
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Experience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).
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Proficiency with Apache Spark concepts, including performance tuning and troubleshooting.
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Experience integrating Databricks with cloud storage services (e.g., S3,)
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Experience implementing and enforcing cluster policies and workspace governance standards.
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Familiarity with Databricks SQL, notebooks, and job orchestration.
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Experience monitoring platform health, performance, and availability.
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Understanding of data security, encryption, and compliance requirements.
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Experience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).
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Preferred:
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4 years of:
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Experience administering Databricks in an enterprise or government environment.
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Experience with Databricks Unity Catalog for data governance and access control.
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Knowledge of cost management and optimization for Databricks workloads.
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Experience supporting AI/ML workloads using Databricks ML and MLflow.
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Familiarity with data lake and lakehouse architectures.
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Knowledge of Python, SQL, or Scala for administration and troubleshooting.
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