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Databricks Administration Jobs (NOW HIRING)

Designs and supports Databricks workspaces, clusters, job workflows, data pipelines, governance ... Implements and enforces data platform governance standards, including workspace administration ...

Designs and supports Databricks workspaces, clusters, job workflows, data pipelines, governance ... Implements and enforces data platform governance standards, including workspace administration ...

Designs and supports Databricks workspaces, clusters, job workflows, data pipelines, governance ... Implements and enforces data platform governance standards, including workspace administration ...

Designs and supports Databricks workspaces, clusters, job workflows, data pipelines, governance ... Implements and enforces data platform governance standards, including workspace administration ...

Designs and supports Databricks workspaces, clusters, job workflows, data pipelines, governance ... Implements and enforces data platform governance standards, including workspace administration ...

Databricks/Cloud Engineer

Washington, DC · On-site

$63 - $84.25/hr

Key Responsibilities Platform Administration & Operations * Administer Databricks accounts and workspaces across SDLC environments; standardize configuration, naming conventions, and operational ...

Client is seeking a Platform Engineer with deep expertise in Databricks administration, data governance, and platform‑level engineering standards. This role enables multiple analytics and AI teams ...

The ML Administrator is responsible for managing Databricks platform administration including workspace management, cluster optimization, and Unity Catalog integration for secure data governance.

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Databricks Administration information

See salary details

$39.5K

$93.8K

$146K

How much do databricks administration jobs pay per year?

As of Jun 7, 2026, the average yearly pay for databricks administration in the United States is $93,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $117,500.00 per year, depending on experience, location, and employer.

What is the difference between Databricks Administration vs Data Engineer?

AspectDatabricks AdministrationData Engineer
Required CredentialsDatabricks certifications, SQL, cloud platform knowledgeProgramming skills, cloud certifications, SQL, data modeling
Work EnvironmentCloud-based Databricks platform, collaborative data environmentData pipelines, ETL processes, cloud platforms
Employer & Industry UsageTech companies, data-driven organizations using DatabricksOrganizations building data pipelines, analytics, machine learning
Common Search & Comparison IntentUnderstanding platform management rolesData pipeline development and data architecture

While Databricks Administrators focus on managing and maintaining the Databricks platform, Data Engineers design and build data pipelines and architectures. Both roles often collaborate but serve different functions within data teams, with Administrators ensuring platform stability and Data Engineers enabling data flow and analysis.

What are the key skills and qualifications needed to thrive as a Databricks Administrator, and why are they important?

To thrive as a Databricks Administrator, you need expertise in cloud platforms (such as AWS, Azure, or GCP), big data frameworks (like Apache Spark), and a background in data engineering or computer science. Familiarity with Databricks Workspace, cluster management, automation tools, and relevant certifications (e.g., Databricks Certified Associate) is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for managing environments and collaborating with data teams. These competencies ensure smooth, secure, and efficient operation of Databricks platforms, enabling organizations to maximize their data analytics capabilities.

What is Databricks Administration?

Databricks Administration refers to the management, configuration, and maintenance of the Databricks platform, which is a unified analytics environment built on Apache Spark. Administrators are responsible for user access control, workspace organization, cluster management, and ensuring data security and compliance. They also handle resource optimization, monitor system performance, and troubleshoot any issues that arise. Effective Databricks Administration is crucial for enabling data engineers, scientists, and analysts to collaborate efficiently and securely on big data projects.

What are some common challenges faced by Databricks Administrators, and how can they be addressed?

Databricks Administrators often encounter challenges such as managing user access controls, optimizing cluster performance, and ensuring data security. Balancing resource allocation to minimize cost while maintaining performance can also be complex, especially in multi-tenant environments. Staying up-to-date with platform updates and troubleshooting issues with integrations to other cloud services are part of the routine. Proactively monitoring system health, leveraging automation tools, and participating in Databricks community forums can help administrators address these challenges effectively.
Infographic showing various Databricks Administration job openings in the United States as of May 2026, with employment types broken down into 3% Locum Tenens, 21% As Needed, 38% Full Time, 35% Contract, and 3% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $93,758 per year, or $45.1 per hour.
Databricks Admin SME(Visa independent)

Databricks Admin SME(Visa independent)

ClifyX

Dallas, TX • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Job Title:   Databricks Admin SME
Location:   Dallas, TX (Onsite/Hybrid as per client requirement)
Duration:  12+ month Contract
 
JOB DESCRIPTION:
 
 
Client is seeking an experienced Databricks Admin Subject Matter Expert (SME) to manage, optimize, and secure enterprise-scale Databricks environments. The ideal candidate will be responsible for administration, governance, performance optimization, security implementation, and operational excellence of the Databricks platform while supporting business-critical data engineering and analytics workloads.
This role requires deep expertise in Databricks workspace administration, cloud integrations, user access governance, security best practices, and platform scalability across large enterprise environments.
Key Responsibilities
Databricks Platform Administration
  • Manage and administer Databricks workspaces across development, QA, and production environments.
  • Configure clusters, cluster policies, job scheduling, and workspace settings.
  • Monitor system performance, usage trends, and optimize platform costs.
  • Implement workspace provisioning, maintenance, upgrades, and troubleshooting.
Security & Governance
  • Design and manage role-based access control (RBAC), Unity Catalog, and data governance frameworks.
  • Integrate Databricks with enterprise identity providers (Azure AD, AWS IAM, Okta, etc.).
  • Ensure compliance with organizational security policies and industry standards.
  • Configure secure networking, private link, VNET injection, and encryption protocols.
Cloud Integration & Infrastructure
  • Collaborate with cloud infrastructure teams to manage Databricks deployments on Azure, AWS, or Google Cloud Platform.
  • Configure storage integrations (ADLS, S3, Blob Storage).
  • Support CI/CD automation using Terraform, ARM templates, or Infrastructure as Code (IaC).
  • Maintain disaster recovery and backup strategies.
Monitoring & Optimization
  • Set up monitoring dashboards, logging, and alerting for proactive issue resolution.
  • Optimize cluster sizing, auto-scaling, and job performance.
  • Conduct capacity planning and cost governance initiatives.
  • Troubleshoot platform, networking, and integration issues.
Collaboration & Leadership
  • Act as the primary SME for Databricks administration and operational support.
  • Partner with data engineers, architects, security teams, and business stakeholders.
  • Provide best practices, technical guidance, and mentoring to internal teams.
  • Support enterprise data modernization initiatives.
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Technology, or related field.
  • 15+ years of experience in data platform administration or cloud data engineering.
  • 4+ years of hands-on Databricks administration experience.
  • Strong expertise with:
    • Databricks Workspace Administration
    • Unity Catalog
    • Cluster Management
    • Security & Governance
    • Azure/AWS/Google Cloud Platform cloud ecosystems
    • Terraform / IaC
    • Identity and Access Management
  • Experience with:
    • Spark
    • Delta Lake
    • SQL
    • Python
    • Monitoring tools
    • DevOps processes
  • Knowledge of networking, cloud security, and compliance standards.

ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998