Databrick Administrator - ONSITE - Inperson Interview at Alpharetta, GA/ Dallas, TX

Overview

On Site
Hybrid
$65 - $70
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Databricks
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Microsoft Azure
Terraform
Build Automation
Python
MLFlow

Job Details

*NOTE: ONSITE - Inperson Interview mandatory in Alpharetta, GA/ Dallas, TX

*NOTE: ONSITE - Inperson Interview mandatory in Alpharetta, GA/ Dallas, TX

*NOTE: ONSITE - Inperson Interview mandatory in Alpharetta, GA/ Dallas, TX

Job Title: Senior Databricks Administrator (Python/Java)
Location: Alpharetta, GA (Onsite)
Duration: 12+ Months Contract
Interview: 2 rounds Video and In-person (Dallas, TX / Alpharetta, GA)

Overview:
Seeking an experienced Databricks Administrator with strong Python/Java and Terraform skills to manage and optimize large-scale AI/ML workloads. The role involves designing secure, automated Databricks environments, integrating with Azure/AWS services, and enabling scalable machine learning operations.

Key Responsibilities:

  • Administer and automate Databricks workspaces, clusters, jobs, MLFlow, and Unity Catalog.

  • Develop IaC solutions using Terraform for cloud and Databricks provisioning.

  • Build automation tools and APIs in Python/Java for orchestration, monitoring, and onboarding.

  • Collaborate with data science and ML teams to streamline MLOps workflows.

  • Implement CI/CD, GitOps, and ensure security, compliance, and cost optimization.

  • Integrate Databricks with Azure/AWS cloud-native services.

Required Skills:

  • 5+ years experience with Databricks platform administration.

  • Strong Python, Java, and Terraform skills.

  • Solid understanding of Azure/AWS infrastructure (IAM, VPC/VNet, storage, compute, monitoring).

  • Experience with CI/CD pipelines (GitHub Actions or similar) and observability tools (Prometheus, Grafana).

  • Knowledge of MLFlow, Mosaic AI, and MLOps best practices.

Preferred:

  • Multi-cloud experience (AWS/Google Cloud Platform).

  • Familiarity with Databricks REST APIs and SDKs.

  • Experience in regulated domains (finance, healthcare).

  • Cloud certifications (Azure/AWS).

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.