Databricks Platform L3 Support Lead Job
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Employer: adarsh mallik
SpiderID: 14262312
Location: Dallas, Texas
Posted: 10/30/2026
Wage:
Priority Review Date: 11/29/2026
Job Code / NOC / SOC:
Category: General
Job Description:
Job Title: Databricks Platform L3 Support Lead
Location: Dallas, TX – Onsite
Experience: 10–15 Years
Employment Type: W2 / Full-Time
Job Summary
We are seeking an experienced Databricks Platform L3 Support Lead to lead L3 operations, governance, and reliability of Azure Databricks and associated Azure data platform services. The ideal candidate will have strong hands-on experience supporting Azure Databricks in production environments, managing platform administration, troubleshooting complex issues, ensuring security and governance, and driving operational excellence.
The candidate should have a strong background in Azure cloud services, Databricks administration, Unity Catalog, Apache Spark performance tuning, ITSM processes, and Major Incident Management.
Required Experience & Qualifications
10–15 years of experience in data platform operations and support.
Minimum 5+ years of hands-on experience supporting Azure Databricks in production environments.
Strong knowledge of Azure platform services, including identity, networking, storage, security, monitoring, and automation.
Experience with Databricks architecture, compute management, workspace administration, Unity Catalog, Jobs/Workflows, and access governance.
Strong experience with ITSM processes, including Incident Management, Problem Management, Change Management, Service Requests, CAB governance, RCA/CAPA, and Major Incident Management.
ITIL v4 certification preferred.
Databricks and Microsoft Azure certifications are desirable.
Key Responsibilities
Lead L3 support, incident management, problem management, and operational governance for Azure Databricks platforms.
Own Major Incident Management (MIM), root cause analysis (RCA), corrective and preventive actions (CAPA), and stakeholder communications.
Administer Databricks workspaces, cluster policies, job orchestration, compute governance, and access management.
Manage Unity Catalog, metastores, catalogs, schemas, access controls, and data security policies.
Optimize Apache Spark workloads, cluster utilization, performance, and platform reliability.
Troubleshoot complex issues across Azure Databricks, ADLS Gen2, Microsoft Entra ID, Azure Networking, Key Vault, Azure Data Factory, Event Hubs, and CI/CD integrations.
Drive cost optimization through compute right-sizing, autoscaling, job clusters, DBU utilization analysis, and resource optimization.
Govern platform upgrades, migrations, and production changes through ITSM processes, CAB reviews, and risk assessments.
Review and resolve tagging discrepancies to support accurate cost allocation, chargeback/showback, and utilization reporting.
Improve platform monitoring, observability, automation, self-healing capabilities, capacity planning, and disaster recovery readiness.
Collaborate with Data Engineering, Cloud Platform, Security, and Architecture teams.
Mentor L2/L3 support engineers and establish operational best practices.
Required Technical Skills
Azure Databricks Administration
Unity Catalog & Data Governance
Apache Spark Performance Tuning
Azure Data Lake Storage Gen2 (ADLS Gen2)
Azure Data Factory (ADF) & Event Hubs
Microsoft Entra ID, RBAC & Security Controls
Azure Networking & Platform Integration
Monitoring, Observability & Platform Automation
FinOps, Capacity Planning & Disaster Recovery
ITIL / ITSM, Major Incident Management, RCA & Change Management
How to Apply
Interested candidates who meet the above requirements can share their updated resumes at:
Email: [email protected]
Location: Dallas, TX – Onsite
Experience: 10–15 Years
Employment Type: W2 / Full-Time
Job Summary
We are seeking an experienced Databricks Platform L3 Support Lead to lead L3 operations, governance, and reliability of Azure Databricks and associated Azure data platform services. The ideal candidate will have strong hands-on experience supporting Azure Databricks in production environments, managing platform administration, troubleshooting complex issues, ensuring security and governance, and driving operational excellence.
The candidate should have a strong background in Azure cloud services, Databricks administration, Unity Catalog, Apache Spark performance tuning, ITSM processes, and Major Incident Management.
Required Experience & Qualifications
10–15 years of experience in data platform operations and support.
Minimum 5+ years of hands-on experience supporting Azure Databricks in production environments.
Strong knowledge of Azure platform services, including identity, networking, storage, security, monitoring, and automation.
Experience with Databricks architecture, compute management, workspace administration, Unity Catalog, Jobs/Workflows, and access governance.
Strong experience with ITSM processes, including Incident Management, Problem Management, Change Management, Service Requests, CAB governance, RCA/CAPA, and Major Incident Management.
ITIL v4 certification preferred.
Databricks and Microsoft Azure certifications are desirable.
Key Responsibilities
Lead L3 support, incident management, problem management, and operational governance for Azure Databricks platforms.
Own Major Incident Management (MIM), root cause analysis (RCA), corrective and preventive actions (CAPA), and stakeholder communications.
Administer Databricks workspaces, cluster policies, job orchestration, compute governance, and access management.
Manage Unity Catalog, metastores, catalogs, schemas, access controls, and data security policies.
Optimize Apache Spark workloads, cluster utilization, performance, and platform reliability.
Troubleshoot complex issues across Azure Databricks, ADLS Gen2, Microsoft Entra ID, Azure Networking, Key Vault, Azure Data Factory, Event Hubs, and CI/CD integrations.
Drive cost optimization through compute right-sizing, autoscaling, job clusters, DBU utilization analysis, and resource optimization.
Govern platform upgrades, migrations, and production changes through ITSM processes, CAB reviews, and risk assessments.
Review and resolve tagging discrepancies to support accurate cost allocation, chargeback/showback, and utilization reporting.
Improve platform monitoring, observability, automation, self-healing capabilities, capacity planning, and disaster recovery readiness.
Collaborate with Data Engineering, Cloud Platform, Security, and Architecture teams.
Mentor L2/L3 support engineers and establish operational best practices.
Required Technical Skills
Azure Databricks Administration
Unity Catalog & Data Governance
Apache Spark Performance Tuning
Azure Data Lake Storage Gen2 (ADLS Gen2)
Azure Data Factory (ADF) & Event Hubs
Microsoft Entra ID, RBAC & Security Controls
Azure Networking & Platform Integration
Monitoring, Observability & Platform Automation
FinOps, Capacity Planning & Disaster Recovery
ITIL / ITSM, Major Incident Management, RCA & Change Management
How to Apply
Interested candidates who meet the above requirements can share their updated resumes at:
Email: [email protected]
Job Criteria:
Start Date:
Position Type: Full-Time Temporary
Experience: 10+
Education:
Travel: None
Vacation: No Paid Vacation
Contact Information:
| Contact Name: adarsh mallik | Type: |
| Company: |