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Lead Assistant Manager
EXLDatabricks Platform Manager/Engineer responsible for designing and optimizing enterprise Databricks platform on AWS. Focused on platform engineering while enabling data engineering and analytics teams to work efficiently.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in administering and managing Databricks platforms on AWS, including workspace administration, cluster management, and CI/CD implementation. Proficient in security practices, cost optimization, and performance tuning within cloud environments.
Highest-signal resume keywords
Databricks Platform AdministrationAWS IAM IntegrationCI/CD ImplementationCluster ManagementCost Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Databricks PlatformWorkspace AdministrationCluster ManagementDatabricks Runtime ManagementUnity CatalogAWSGitTerraformIncident ManagementLog Analysis
Tools & Technologies
AWSDatabricksCloudWatchKMSAzure DevOpsGitHub ActionsJenkins
Industry Keywords
DevOpsInfrastructure as CodePerformance TuningSecrets ManagementAudit Logging
Tech Stack
Tools & technologiesAWSAzureEC2JenkinsTerraformUnity
About the role
Key responsibilities & impact- Designing, administering, securing, and optimizing the enterprise Databricks platform on AWS.
- Managing enterprise Databricks platforms
- Setting up multiple Databricks workspaces
- Configuring Unity Catalog
- AWS IAM integration
- Cluster policy creation and governance
- Runtime version upgrades
- CI/CD implementation
- Git integration
- Platform monitoring and troubleshooting
- Secrets management
- Audit logging
- Production support
- Cost optimization initiatives
Requirements
What you’ll need- 5–10 years of overall IT experience
- 3–5+ years of hands-on experience administering and managing Databricks platforms in production environments on AWS.
- Databricks Platform
- Workspace administration
- Cluster management
- Cluster policies
- Instance pools
- Job clusters
- Databricks Runtime management
- Workflows
- Databricks Repos
- Unity Catalog
- Secret Scopes
- Service Principals
- Personal Access Tokens (PATs)
- AWS
- IAM
- VPC fundamentals
- EC2 concepts
- S3
- CloudWatch
- KMS
- Security Groups
- Networking fundamentals
- DevOps
- Git
- CI/CD
- Terraform
- Infrastructure as Code
- Azure DevOps, GitHub Actions, or Jenkins
- Monitoring
- Platform monitoring
- Incident management
- Log analysis
- Performance tuning
- Cost optimization
Benefits
Comp & perks- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off