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Tap Growth ai

Tap Growth ai

Databricks Admin

Plano, USSur siteCDITemps plein

Publié 2 oct. 2026

Cet emploi est publié en EN

🌟 We're Hiring: Databricks Admin! 🌟

We are looking for an experienced and proactive Databricks Admin to join our team in Plano, United States. The ideal candidate will have at least 8 years of experience in data platform administration, with deep expertise in managing and optimizing Databricks environments. You will play a key role in ensuring the reliability, performance, and security of our data infrastructure.

📍 Location: Plano, United States

⏰ Work Mode: Work from Office

💼 Role: Databricks Admin

What You'll Do:

🔧 Manage and administer Databricks workspaces and clusters

🛡️ Ensure security, compliance, and access control across all environments

⚙️ Monitor system performance and troubleshoot issues proactively

🚀 Optimize resource utilization for cost efficiency and scalability

📈 Implement backup, recovery, and disaster recovery procedures

🤝 Collaborate with data engineers and analysts to support business needs

📝 Maintain documentation of configurations and best practices

What We're Looking For:

✅ Minimum 8 years of experience as a data platform or cloud admin (Databricks preferred)

✅ Strong knowledge of Azure/AWS cloud services related to Databricks

✅ Proficiency with scripting languages such as Python or Shell scripting

✅ Experience implementing security controls and compliance standards

✅ Excellent troubleshooting and problem-solving skills

✅ Strong communication skills for cross-functional collaboration

Ready to elevate your career? 🚀 Apply now and be part of our innovative journey!

Aperçu du poste

Type de poste

Temps plein

E-mail

recruiter@tapgrowth.ai

Compétences requises

Databricks workspace and cluster administrationDatabricks environment optimization and performance tuningDatabricks security, access control, and complianceBackup, recovery, and disaster recovery procedures for Databricks/data platformsAzure cloud services related to DatabricksAWS cloud services related to DatabricksPython scriptingShell scriptingSystem monitoring and proactive troubleshootingResource utilization, cost optimization and scalabilityCross-functional communication and stakeholder collaborationTechnical documentation of configurations and best practices

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