Senior Databricks Admin (AWS) - Healthcare Exp

Hybrid in Austin, TX, US • Posted 1 day ago • Updated 1 day ago
Contract Corp To Corp
Contract Independent
Contract W2
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Databricks
  • Data Governance
  • Data Security
  • Data Lake
  • Amazon Web Services
  • Amazon S3
  • Apache Spark
  • Artificial Intelligence
  • Cloud Computing
  • Cloud Storage
  • Continuous Integration
  • Continuous Delivery
  • Cost Management
  • Performance Tuning
  • Python
  • RBAC
  • DevOps
  • Access Control
  • Encryption
  • Job Scheduling
  • Machine Learning (ML)
  • Management
  • Optimization
  • Orchestration
  • Regulatory Compliance
  • SQL
  • Scala
  • Scripting
  • Terraform
  • Unity

Summary

Role: Senior Databricks Administrator (AWS)

Location: Austin, TX Hybrid

Required Skills & Experience

  • 8+ years of experience administering Databricks workspaces in a cloud environment (AWS).
  • 8+ years of experience with Databricks cluster configuration, job scheduling, and workspace management.
  • 8+ years of experience managing user access, roles, and permissions using IAM, SCIM, and Role-Based Access Control (RBAC).
  • 8+ years of experience working with Apache Spark concepts, including performance tuning and troubleshooting.
  • 8+ years of experience integrating Databricks with cloud storage services such as AWS S3.
  • 8+ years of experience implementing and enforcing cluster policies and workspace governance standards.
  • 8+ years of experience working with Databricks SQL, notebooks, and job orchestration.
  • 8+ years of experience monitoring platform health, performance, and availability.
  • 8+ years of experience with data security, encryption, and compliance requirements.
  • 8+ years of experience using DevOps or automation tools such as Terraform, CI/CD pipelines, and scripting.

Preferred Skills

  • 4+ years of experience administering Databricks in an enterprise or government environment.
  • 4+ years of experience working with Databricks Unity Catalog for data governance and access control.
  • 4+ years of experience in cost management and optimization for Databricks workloads.
  • 4+ years of experience supporting AI/ML workloads using Databricks ML and MLflow.
  • 4+ years of experience working with data lake and lakehouse architectures.
  • 4+ years of experience using Python, SQL, or Scala for administration and troubleshooting.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10504512
  • Position Id: 5296016922
  • Posted 1 day ago
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