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Databricks Admin Jobs (NOW HIRING)

Databricks

Program Analyst, Legal Ops

Washington, DC · On-site

... Databricks' long-term corporate goals. The impact you will have * Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track ...

Guidehouse

Databricks Solution Architect

Administer Databricks workspaces, account-level settings, workspace configurations, users, groups, service principals, permissions, secrets, jobs, and platform objects. * Design and manage Unity ...

Databricks

Staff Product Manager, Security

Seattle, WA · On-site

$129K - $228K/yr

Your work will help IT and security administrators feel at ease with increasing Databricks usage in their organization. Our data champions will benefit from the data security and operational ...

Montek System

Sr AWS Databricks DevOps Lead

Dallas, TX · On-site

$129K - $165K/yr

Administer Databricks workspaces, jobs, compute, access controls, and governance * Drive DevOps practices including CI/CD, automation, release management, and operational support * Build and maintain ...

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How much do databricks admin jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for databricks admin in the United States is $25.38, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $24.04 per hour, depending on experience, location, and employer.

What is a Databricks Admin?

Databricks Admins are IT professionals responsible for managing and configuring the Databricks platform within an organization. They handle user access, workspace setup, cluster management, security policies, and integration with cloud services. Their role is crucial in ensuring that the Databricks environment runs smoothly, securely, and efficiently for data teams. Admins also monitor resource usage, troubleshoot issues, and implement best practices for data processing and analytics workflows.

What are some common challenges a Databricks Admin faces when managing large-scale data pipelines?

As a Databricks Admin, one of the primary challenges is ensuring optimal cluster performance and resource utilization, especially when handling large and complex data pipelines. Admins must monitor job execution, manage user access, and troubleshoot issues related to data connectivity, cluster failures, or slow-running jobs. Additionally, maintaining data security and compliance across collaborative teams can be demanding, as it requires fine-tuning permissions and enforcing organizational policies. Strong communication with data engineers and analysts is essential to proactively address problems and optimize workflows.

What are the key skills and qualifications needed to thrive as a Databricks Admin?

To thrive as a Databricks Admin, you need a solid background in data engineering, cloud computing, and distributed systems, often supported by a degree in computer science or related field. Proficiency in Databricks platform management, Spark, Azure or AWS services, and relevant certifications like Databricks Certified Associate Developer are typically required. Strong problem-solving, communication, and collaboration skills help in effectively managing resources and supporting data teams. These skills ensure optimal platform performance, secure data workflows, and support for analytics initiatives across the organization.

What is the difference between Databricks Admin vs Data Engineer?

AspectDatabricks AdminData Engineer
CredentialsDatabricks certifications, cloud platform knowledgeProgramming skills, cloud certifications, data modeling
Work EnvironmentCloud-based Databricks platform, administrative tasksData pipelines, ETL processes, coding environments
Employer & IndustryTech companies, data-driven organizations using DatabricksOrganizations building data infrastructure, analytics teams
Search & Comparison IntentUnderstanding administrative roles in DatabricksData pipeline development and data architecture

While both roles work within data platforms, a Databricks Admin primarily manages and maintains the Databricks environment, focusing on platform configuration and user access. In contrast, a Data Engineer builds and maintains data pipelines, often utilizing Databricks for data processing. Both roles require cloud platform knowledge, but their core responsibilities differ significantly.

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Databricks Admin jobs near you
Infographic showing various Databricks Admin job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $52,789 per year, or $25.4 per hour.

Program Analyst, Legal Ops

Databricks

Washington, DC • On-site

Other

Re-posted 20 hours ago

Job description

GAQ426R79

About the Team
The mission of Databricks Legal is to apply legal resources and expertise to help Databricks achieve its growth and strategic objectives, while thoughtfully protecting Databricks with a reasonable balance of risk versus opportunity.

What we look for
Databricks is looking for an experienced Program Analyst, Legal Ops (Commercial) to support the Databricks Commercial Legal team's AI and scaling initiatives, including working with the Commercial Legal Center of Excellence (CoE). The dedicated Program Analyst will work to align, program manage, and track the multiple high-priority initiatives. This role is essential to enable the Commercial Legal team to effectively achieve Databricks' long-term corporate goals. 

The impact you will have

  • Driving Project Alignment and Execution: The Program Analyst will serve as the dedicated resource to help plan, administer, and track upcoming projects and initiatives; gather and organize information to inform leadership decisions on cross-functional projects; and help coordinate complex post-M&A integration tasks as needed and the implementation of post-signature strategic partnerships, alliances. 
  • Improving Cross-Functional Interlock: The role will provide a dedicated point of contact, enabling tighter and more efficient interlock with strategic alliances, partnerships, product legal, commercialization, and finance.
  • Lead the end-to-end implementation of AI tools to automate routine tasks and enhance productivity.

How you will work:

  • You will demonstrate excellent project management, and an ability to coordinate efforts across multiple stakeholders, teams, and regions.
  • You are expected to manage multiple assignments simultaneously while maintaining a high standard of quality and meeting tight deadlines.
  • You routinely identify and recommend opportunities to change and improve ways of working.
  • You are a bar raiser, constantly looking to improve standards within the team and to streamline  process and quality across different regions.

What we look for

  • Outstanding interpersonal and communication skills
  • Three or more years of experience working as paralegal, program manager, contracts specialist or contracts admin. 
  • Experience with leveraging AI or machine learning in a legal setting
  • Experience with pre-sales, sales operations, and/or deal desk; experience within a commercial team is a plus.
  • Bachelor's degree or equivalent.
  • Strong understanding of the tools used by in-house commercial legal teams to facilitate the contracting process for revenue, including tools used for contract generation and routing (e.g., SFDC, CPQ, and CLM), and signatures (e.g., DocuSign).
  • Strong project management skills.
  • Excellent written and verbal communication.
  • Ability to work effectively with cross-functional teams across diverse cultures.
  • Strategic thinking and problem-solving abilities.
  • Familiarity with relevant industry regulations and compliance requirements.
  • Proficiency with proposal management software.

Apply