Job ID: JOB_ID_9146
Job Summary:
We are seeking an experienced AWS Databricks Administrator to manage and optimize our Databricks workspaces in a hybrid environment. The ideal candidate will have a strong understanding of Databricks administration, cloud environments (AWS), and data security best practices. This role requires in-person presence in Austin, Texas.
Minimum Requirements:
- 8+ Years Required: Experience administering Databricks workspaces in a cloud environment (AWS).
- 8+ Years Required: Strong understanding of Databricks cluster configuration, job scheduling, and workspace management.
- 8+ Years Required: Experience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).
- 8+ Years Required: Proficiency with Apache Spark concepts, including performance tuning and troubleshooting.
- 8+ Years Required: Experience integrating Databricks with cloud storage services (e.g., S3).
- 8+ Years Required: Experience implementing and enforcing cluster policies and workspace governance standards.
- 8+ Years Required: Familiarity with Databricks SQL, notebooks, and job orchestration.
- 8+ Years Required: Experience monitoring platform health, performance, and availability.
- 8+ Years Required: Understanding of data security, encryption, and compliance requirements.
- 8+ Years Required: Experience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting).
Preferred Qualifications:
- 4+ Years Preferred: Experience administering Databricks in an enterprise or government environment.
- 4+ Years Preferred: Experience with Databricks Unity Catalog for data governance and access control.
- 4+ Years Preferred: Knowledge of cost management and optimization for Databricks workloads.
- 4+ Years Preferred: Experience supporting AI/ML workloads using Databricks ML and MLflow.
- 4+ Years Preferred: Familiarity with data lake and lakehouse architectures.
- 4+ Years Preferred: Knowledge of Python, SQL, or Scala for administration and troubleshooting.
Keywords:
continuous integration, continuous deployment, artificial intelligence, machine learning, S3
Work Environment:
Austin, Texas – Hybrid. Note: In-person Only.
Special Requirements
In-person Only
Compensation & Location
Salary: $120,000 – $160,000 per year (Estimated)
Location: Austin, TX
Recruiter / Company – Contact Information
Email: jobs@metarpo.com
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