Databricks System Admin

Charter Global; United States; Remote; USD 70,000 - 130,000; Full time

Job summary

A leading company in IT services is seeking a Senior Databricks/System Admin for a remote contract. The role involves managing Azure Databricks workspaces, ensuring governance, and collaborating on data engineering efforts to support ML workloads. Ideal candidates will have hands-on experience with Apache Spark, Terraform, and excellent communication skills.

Qualifications

• Track record supporting Spark ETL and ML workloads.
• Knowledge of Databricks REST API and Unity Catalog.
• Skills in scripting with Python and Terraform.

Responsibilities

• Design, provision, and operate Azure Databricks workspaces.
• Create and manage clusters; monitor jobs and audit logs.
• Partner to build/optimize Spark/Delta pipelines.

Skills

Apache Spark 3.x

Delta Lake

Python

PowerShell

Bash

Terraform

Documentation

Incident-management

Stakeholder-communication

Education

Databricks Platform Administrator Accreditation

Microsoft Azure Data Engineer Associate

Job description

Direct message the job poster from Charter Global

Senior Talent Acquisition @ Charter Global | Excel with LinkedIn Recruiter Assessment

Title: Databricks/System Admin

Location: Remote/WFH

Duration: 3-6+ months

Contract Description:

You will design, provision, and operate Azure Databricks workspaces; enforce security, cost, and performance policies; and serve as the escalation point for data engineering and ML teams. Success in this position means delivering a reliable, well-governed platform that accelerates product teams while meeting enterprise compliance obligations.

• Platform Administration & Governance – Create and manage clusters, cluster policies, and pools; schedule DBR upgrades; configure VNet-injected workspaces, SCIM user/group provisioning, and secret scopes; monitor jobs, audit logs, and system tables for health & cost anomalies.
• Unity Catalog Stewardship – Stand up metastores, catalogs, and schemas; implement object ownership, row/column security, data lineage, and privilege delegation.
• ETL & Delta Live Tables Support – Partner with data engineers to build and optimize Spark/Delta pipelines, streaming jobs, and orchestration in Databricks Workflows.
• Security & Data Privacy – Integrate AAD SSO, network security controls
• Automation & IaC – Implement Terraform/Databricks Terraform provider, Databricks CLI, and CI/CD pipelines for workspace and Unity Catalog objects.
• Cost Optimisation & Observability – Tag resources, set auto-termination, right-size clusters
• Documentation & Knowledge Transfer – Maintain runbooks, SLA playbooks, and deliver platform onboarding sessions.

Qualifications:

• Proven track record supporting Spark ETL and ML workloads at scale.
• Deep knowledge of Apache Spark 3.x, Delta Lake, Databricks REST API
• Scripting/IaC: Python, PowerShell/Bash, Terraform. Governance
• Hands-on Unity Catalog privilege model, lineage, and audit tables.
• Excellent incident-management, documentation, and stakeholder-communication skills.

Preferred Certifications:

• Databricks Platform Administrator Accreditation
• Databricks Lakehouse Fundamentals Accreditation
• Microsoft Azure Data Engineer Associate (DP-203) or successor certification

Nice-to-Have:

• Immuta implementation or comparable data-privacy platform experience.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Administrative

• Industries

  IT Services and IT Consulting

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