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Databricks Admin Jobs in Texas (NOW HIRING)

Permian Resources

Peloton Support Analyst

Midland, TX · On-site

... Databricks; identify the point of failure across each layer and coordinate resolution with integration developers * Administer and update Peloton workflow configurations, UDL changes, mappings ...

Purple Drive

Threat Modeler

Irving, TX · On-site

... Cloud/GitHub/Databricks. • Design and review technical architectures - must. Roles ... Information Protection Administrator A ssociate

Infosys

Informatica Governance Suite Platform Admin

Plano, TX · On-site

$51.25 - $67.50/hr

... Databricks, BigQuery, Synapse) • Experience of Integrating tools with LDAP/AD/Entra ID and SSO/SAML configurations. • Experience in Informatica platform administration. • Has Informatica ...

Tata Consultancy Services

Threat Modeler

Irving, TX · On-site

$50.75 - $66/hr

... Databricks • Design and review technical architectures - must • Bachelor's degree in computer ... Information Protection Administrator Associate Company : Tata Consultancy Services is a business ...

Quadrant Technologies

Full-Time Roles

Dallas, TX · On-site

... Admin with AI Cincinnati, OH / Detroit, MI. AI Partner AI Consultants Edison, NJ Google Gemini AI ... Engineer Plano, TX Databricks Developer (ETL, AI/ML) Charlotte, NC Java Developer with Python ...

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Databricks Admin information

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 Texas? For Databricks Admin jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Databricks Admin jobs in Texas look for? The top searched job categories for Databricks Admin jobs in Texas are:
What cities in Texas are hiring for Databricks Admin jobs? Cities in Texas with the most Databricks Admin job openings:
Databricks Admin jobs near you
Cloud Data Platform Administrator

Cloud Data Platform Administrator

Seneca Resources

Houston, TX • On-site

Other

Re-posted 2 days ago

Job description

Position Summary

The Cloud Data Platform Administrator is responsible for the administration, governance, and ongoing optimization of the company’s cloud-based data and analytics platforms, with a primary focus on Microsoft Fabric and Power BI Service (Online).

This role supports enterprise reporting, self-service analytics, and emerging Copilot and AI use cases by managing cloud data and analytics platforms, building data pipelines, and delivering trusted datasets across the organization.

Key Responsibilities

·         Administer and govern Microsoft Fabric and Power BI Service (Online) as the company’s enterprise cloud analytics platform supporting reporting, self-service analytics, and AI initiatives.

·         Define and maintain Fabric platform architecture, including workspace design, OneLake data organization, and Lakehouse/Warehouse configuration

·         Administer Power BI Service (Online) including workspace organization, dataset and semantic model management, access controls, and performance optimization.

·         Design, build, and support cloud-based data ingestion and transformation (ETL) pipelines using modern data platform tools.

·         Ensure datasets are curated and structured to support downstream reporting, advanced analytics, and Copilot-enabled AI scenarios.

·         Monitor and manage capacity utilization and performance across Fabric and Power BI workspaces to ensure stability and reliability within the environment

·         Establish and promote standards and best practices for self-service reporting and analytics initiatives.

·         Partner with business stakeholders to support operational, financial, and analytical reporting needs, providing guidance and best practices for effective Power BI development and usage.

·         Collaborate with IT leadership, analytics teams, and developers to evolve the cloud data platform and deliver data-driven solutions using the Microsoft cloud ecosystem.

Skills & Qualifications<>Required Skills & Qualifications

·         Hands-on experience administering enterprise cloud data analytics platforms, with a strong preference for Microsoft Fabric. Experience with comparable platforms such as Snowflake, Databricks, Azure Synapse Analytics, or Hadoopbased data warehousing platforms is acceptable.

·         Experience administering enterprise-scale Power BI Service (Online) environments, including semantic model design, dataset management, refresh architecture, workspace organization, and support for governed self-service analytics and reporting.

·         Experience designing and developing Power BI reports and dashboards

·         Strong understanding of cloud data warehousing and Lakehouse architecture, including data modeling concepts that support downstream reporting and analytics.

·         Experience designing and building cloud-based data ingestion and transformation (ETL) pipelines using modern data platform tools.

·         Strong SQL skills, with the ability to write, optimize, and troubleshoot queries.

·         Strong problem-solving and troubleshooting skills, with the ability to diagnose and resolve complex issues across cloud data platforms, data pipelines, and enterprise analytics environments.

·         Effective communication skills, with the ability to collaborate with both technical teams and business stakeholders.

<>Preferred Qualifications

·         Exposure to Microsoft Copilot-enabled or AI-driven analytics scenarios using structured enterprise data.

·         Experience working with cloud data platforms or analytics solutions within the oil and gas industry.

Education & Experience

·         Bachelor’s degree in computer science, data science, computer engineering, information systems, or a related technical field.

·         5+ years of experience designing, building, and supporting enterprise cloud-based data and analytics platforms used for reporting, analytics, and data-driven decision making.

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