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Databricks Admin Jobs in Chicago, IL (NOW HIRING)

Lead Databricks platform administration across enterprise workspaces, accounts, and cloud ... Experience maintaining platform hygiene, including workspace reviews, admin access reviews, group ...

Snowflake DBA

Chicago, IL ยท On-site +1

Experience with Databricks or Spark-based processing * Knowledge of data governance and compliance ... Administer, monitor, and optimize Snowflake environments , including warehouses, storage, security ...

Senior Solutions Engineer (Eastern US)

Chicago, IL ยท On-site

$57 - $73.50/hr

Strong familiarity with modern data platforms (Snowflake, Databricks, BigQuery). You do not need to be a database admin, but you must be comfortable navigating a database schema and performing data ...

... 1, Administrator Level 1, and Integration Level 1 * Experience with Talend or other extract, transform, load (ETL) tools, including Google Cloud Dataflow, Azure Data Factory, or Databricks

Relevant certifications such as Azure Architect Expert or Azure Administrator are highly preferred ... Exposure to Big Data, BI, and analytics technologies (e.g., Fabric, Databricks) preferred. * Strong ...

Databricks Admin information

See Chicago, IL salary details

$11

$26

$58

How much do databricks admin jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for databricks admin in Chicago, IL is $26.14, according to ZipRecruiter salary data. Most workers in this role earn between $19.57 and $24.76 per hour, depending on experience, location, and employer.

What are Databricks Admins?

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, and why are they important?

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.

What are popular job titles related to Databricks Admin jobs in Chicago, IL? For Databricks Admin jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Databricks Admin jobs in Chicago, IL look for? The top searched job categories for Databricks Admin jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Databricks Admin jobs? Cities near Chicago, IL with the most Databricks Admin job openings:

Senior Specialist - Software Engineering

Futran Tech Solutions Pvt. Ltd.

Chicago, IL โ€ข On-site

$133K - $172K/yr

Full-time

Re-posted 14 days ago


Job description

Job Title Azure DevOps
โ€ข Minimum 6 years of experience in IT with at least 2 years in Databricks Admin. Looking for a skilled Azure DevOps Databricks Admin to join our team. An ideal candidate will have a strong background in Azure DevOps and Databricks administration with a proven track record of managing and optimizing cloud based environments.
โ€ข Manage and maintain Azure DevOps pipelines and Databricks environments Implement and manage CICD pipelines using Azure DevOps Administer Databricks clusters including provisioning scaling and monitoring.
โ€ข Ensure the security and compliance of Databricks environments Collaborate with development teams to optimize application deployment and release processes Troubleshoot and resolve issues related to Azure DevOps and Databricks Provide guidance and support team members on best practices for DevOps and Databricks.
โ€ข Strong experience with Azure DevOps including pipeline creation and management Proficiency in Databricks administration including cluster management and optimization.
โ€ข Experience with cloud computing platforms particularly Azure Knowledge of containerization technologies such as Docker and Kubernetes Familiarity with scripting languages such as Python and PowerShell Understanding of security best practices for cloud environments
โ€ข Excellent problem solving and troubleshooting skills Strong communication and collaboration abilities.
โ€ข Preferred Certification in Azure DevOps or Databricks Experience with other cloud platforms such as AWS or Google Cloud Knowledge of data engineering and data science workflows Familiarity with infrastructure as code IaC tools such as Terraform