Title: Senior Databricks Administrator
Location: Baltimore, MD / Evansville, IN
Need candidates local to Baltimore MD or Evansville IN - This is MANDATORY - NO RELOCATION.
We are seeking a Senior Databricks Administrator with 15+ years of overall IT experience and 5+ years of hands-on Databricks Administration experience to lead the administration, governance, security, performance, and cost optimization of an AWS Databricks platform.
This is a platform administration and governance role, not a development position. The ideal candidate will have extensive experience managing enterprise-scale Databricks environments on AWS and will be responsible for ensuring platform stability, security, compliance, performance, and operational excellence.
Key Requirements
15+ years of overall IT experience with 5+ years in Databricks Administration
- Strong hands-on expertise in:
- Databricks Workspace Administration
- Unity Catalog Administration and Governance
- RBAC, SSO, SCIM, and Security Administration
- Cluster Administration (Interactive, Job Clusters, SQL Warehouses, Serverless)
- Databricks Cost Management, Pricing, and FinOps Optimization
- Platform Monitoring, Auditing, and Compliance
- Multi-workspace Administration
- Hive Metastore and Hive Tables Administration
- Experience managing:
- Catalogs, Schemas, Tables, Views, and Storage Credentials
- Cluster Policies and Compute Governance
- User and Access Management
- Platform Upgrades and Runtime Management
- Workspace Provisioning and Environment Governance
AWS Platform Expertise (Mandatory)
- Hands-on experience administering Databricks on AWS.
- Strong knowledge of:
- AWS IAM
- S3 Storage
- VPC, Security Groups, and Networking
- Secrets Management
- Cloud Governance and Security Best Practices
- Experience working in enterprise-scale AWS-based Data & Analytics environments.
Technical Understanding
Although this is not a development role, the candidate must possess a good understanding of:
- Databricks Lakehouse Architecture
- Apache Spark
- Delta Lake
- Hive Metastore and Hive Tables
- Data Engineering workflows
This knowledge is required to troubleshoot platform issues, analyze job failures, perform root-cause analysis, and support engineering teams when required.
Preferred Skills
- Experience with Hive Metastore to Unity Catalog migrations.
- Strong understanding of Databricks pricing models and consumption optimization.
- Exposure to Databricks Genie AI / GenAI capabilities and their governance within Unity Catalog.
- Experience implementing enterprise security, governance, and compliance controls.
- Databricks certifications are a plus.
Ideal Candidate Profile
- Hands-on Databricks Administrator, not a Databricks Developer.
- Expert in Unity Catalog, Security, RBAC, Governance, and Cost Optimization.
- Strong experience managing clusters, SQL Warehouses, and workspace administration.
- Deep knowledge of Hive Metastore and Hive tables.
- Able to independently own and govern the Databricks platform on AWS.
- Capable of troubleshooting and debugging platform and workload issues while working closely with Data Engineering, Cloud, Security, and Infrastructure teams.
Mandatory Skills: AWS Databricks, Unity Catalog, RBAC, Security Administration, Cluster Administration, SQL Warehouses, Cost Optimization, Platform Governance, Hive Metastore/Hive Tables, Monitoring & Compliance.