What are the responsibilities and job description for the DataBricks Administrator position at Mothership ?
DataBricks Administrator
Onsite and local to Cincinnati.
Key Responsibilities :
Azure Databricks Administration & Management :
Deploy, configure, and manage Azure Databricks workspaces in a scalable, cost-efficient, and secure manner. Administer clusters, jobs, notebooks, and workflows, ensuring high availability and performance. Monitor and optimize compute resource utilization and autoscaling strategies to improve cost efficiency. Manage Databricks Runtime versions, libraries, and dependencies across environments. Security & Compliance :
Implement and manage Unity Catalog for fine-grained access control and data governance. Enforce Role-Based Access Control (RBAC) and integrate Databricks with Azure Active Directory (AAD). Ensure compliance with SOC 2, HIPAA, GDPR, and internal security standards. Set up audit logging, monitoring, and alerting for security and operational insights. Performance Optimization & Troubleshooting :
Tune Apache Spark workloads to improve query performance and resource efficiency. Analyze and troubleshoot performance bottlenecks in ETL and ML workloads. Optimize Delta Lake storage, caching, and indexing strategies for better query execution. Automation & Infrastructure as Code (IaC) :
Automate Databricks workspace deployment using Terraform, ARM Templates, or Databricks REST API. Develop and maintain CI / CD pipelines for Databricks job deployment and configuration management. Implement monitoring solutions using Azure Monitor, Prometheus, or Grafana. Collaboration & Integration :
Work closely with data engineers, data scientists, and DevOps teams to support data pipelines and analytics workloads. Integrate Databricks with Azure Data Lake, Azure Synapse Analytics, and Snowflake. Provide technical guidance and best practices for efficient Spark job execution and cost optimization. Required Skills & Experience :
5 years of experience in Azure Databricks administration and performance optimization. Expertise in Apache Spark, PySpark, SQL, and Scala. Hands-on experience with Databricks Unity Catalog, Delta Lake, and MLflow. Strong knowledge of Azure cloud services (Azure Data Lake, Azure Synapse, Azure Key Vault, etc.). Experience in Infrastructure as Code (Terraform, Bicep, or ARM Templates). Proficiency in CI / CD pipeline automation using Azure DevOps, GitHub Actions, or Jenkins. Strong understanding of network security, identity management (AAD), and encryption best practices. Excellent problem-solving skills and ability to troubleshoot complex Databricks workloads. Strong communication and documentation skills. Preferred Qualifications :
Databricks Certified Associate or Professional certification. Experience with Azure Kubernetes Service (AKS) and serverless computing. Familiarity with Kafka, Apache Airflow, and event-driven architectures. Knowledge of Python, PowerShell, or Bash scripting for automation.
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