📊 Job Highlights
Experience
5 - 12 Years
Domain
Data Engineering
Domain Experience
3 Years
Authorization
India
💻 Key Skills
DatabricksAWSClusterIAMCICDUnity CatalogGit
Job Description
Design, deploy, and manage Databricks workspaces across Dev, Test, UAT, and Production.
Administer and optimize Databricks clusters, cluster policies, instance pools, and job clusters.
Manage platform upgrades, Databricks Runtime (DBR) versions, and environment standardization.
Implement enterprise security using AWS IAM, SSO, service principals, PATs, and secret scopes.
Administer Unity Catalog, RBAC, governance, and compliance controls.
Enable CI/CD using Git, Databricks Repos, Terraform, and DevOps tools.
Monitor platform health, troubleshoot production issues, and perform root cause analysis.
Drive cloud cost optimization and compute efficiency.
Configure audit logging and ensure compliance with enterprise security standards.
Required Skills
? Databricks Workspace Administration
? Unity Catalog & RBAC
? Cluster Management & Cluster Policies
? Instance Pools & Job Clusters
? Databricks Runtime Management
? AWS (IAM, S3, CloudWatch, KMS, VPC, EC2, Security Groups)
? Git, CI/CD, Terraform (Infrastructure as Code)
? Databricks Repos
? Platform Monitoring & Production Support
? Cost Optimization & Incident Management
We're Looking For
5–10 years of overall IT experience.
3–5+ years of hands-on Databricks platform administration in production AWS environments.
Experience managing enterprise Databricks platforms with multiple workspaces.
Strong expertise in Unity Catalog, AWS IAM integration, runtime upgrades, cluster governance, secrets management, audit logging, and CI/CD.
Hands-on experience supporting production environments and optimizing cloud costs.
Preferred
Experience managing large-scale Databricks environments (100+ users).
Terraform for Databricks infrastructure provisioning.
Lakehouse Architecture & Delta Lake.
FinOps and cloud cost optimization.
PrivateLink, VPC Endpoints, Datadog, Splunk, or CloudWatch.
Apache Spark internals and AI/ML workloads on Databricks.
Administer and optimize Databricks clusters, cluster policies, instance pools, and job clusters.
Manage platform upgrades, Databricks Runtime (DBR) versions, and environment standardization.
Implement enterprise security using AWS IAM, SSO, service principals, PATs, and secret scopes.
Administer Unity Catalog, RBAC, governance, and compliance controls.
Enable CI/CD using Git, Databricks Repos, Terraform, and DevOps tools.
Monitor platform health, troubleshoot production issues, and perform root cause analysis.
Drive cloud cost optimization and compute efficiency.
Configure audit logging and ensure compliance with enterprise security standards.
Required Skills
? Databricks Workspace Administration
? Unity Catalog & RBAC
? Cluster Management & Cluster Policies
? Instance Pools & Job Clusters
? Databricks Runtime Management
? AWS (IAM, S3, CloudWatch, KMS, VPC, EC2, Security Groups)
? Git, CI/CD, Terraform (Infrastructure as Code)
? Databricks Repos
? Platform Monitoring & Production Support
? Cost Optimization & Incident Management
We're Looking For
5–10 years of overall IT experience.
3–5+ years of hands-on Databricks platform administration in production AWS environments.
Experience managing enterprise Databricks platforms with multiple workspaces.
Strong expertise in Unity Catalog, AWS IAM integration, runtime upgrades, cluster governance, secrets management, audit logging, and CI/CD.
Hands-on experience supporting production environments and optimizing cloud costs.
Preferred
Experience managing large-scale Databricks environments (100+ users).
Terraform for Databricks infrastructure provisioning.
Lakehouse Architecture & Delta Lake.
FinOps and cloud cost optimization.
PrivateLink, VPC Endpoints, Datadog, Splunk, or CloudWatch.
Apache Spark internals and AI/ML workloads on Databricks.
Note: This Requirement is either from the Multicloud4u or from its global partner. Please contact the recruiter directly for further information.
