What are the responsibilities and job description for the Azure Databricks DevOps Administrator position at Nutech Information Systems?
Job Details
One of our healthcare clients in NYC is looking for Azure Databricks DevOps Administrator
Location : NYC, Hybrid
Contract or contract to hire
As an Azure Databricks DevOps Administrator within this department, you will be responsible for managing and maintaining the Databricks platform, ensuring optimal performance and security across workspaces, clusters, and jobs. This role is crucial in overseeing user administration, managing Azure storage solutions, and implementing CI/CD pipelines using Azure DevOps. By leveraging a deep understanding of Databricks architecture and proficiency in scripting languages, the Azure DevOps administrator will automate tasks and enhance the efficiency of data operations. Strong communication skills and a commitment to high-quality support will enable effective collaboration with cross-functional teams, directly contributing to the department's mission of delivering robust data solutions and insights.
Job Responsibilities
- Hands-on experience in Azure Cloud services, Networking Concepts, Security - Cloud and on-premises system, Deployment using Azure DevOps, Azure Cloud Monitoring and Cost controls and Terraform - hands-on experience
- CI/CD Pipeline Management: Design, implement, and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines using Azure DevOps and GitHub. Ensure the pipelines are efficient, reliable, and scalable.
- Infrastructure as Code (IaC): Automate the provisioning and management of infrastructure, with a focus on Azure Databricks and Azure Data Factory in a private network environment, using tools like Terraform and ARM templates.
- Environment Management: Create and manage development, testing, and production environments, ensuring consistency, security, and alignment with organizational requirements.
- Security: Implement security best practices throughout the CI/CD pipeline, including secrets management, secure code scanning, and compliance with security standards.
- Monitoring & Logging: Set up and maintain monitoring and logging for applications and infrastructure using Azure Monitor, Log Analytics, and related tools to ensure system reliability and performance.
- Automation: Identify opportunities for automation to streamline processes, reduce manual errors, and improve operational efficiency.
- Policy Enforcement: Establish and enforce policies such as branch policies, pull request reviews, and pipeline approvals to maintain code quality and compliance with organizational standards.
- Manage and maintain Azure Databricks Platform, workspaces, clusters, and jobs
- Oversee user administration including access controls and permissions
- Handle library installations, runtime management, and policy enforcement
- Implement/analyze cost control measures
- Administer Unity Catalog for data governance and security
- Collaborate with data engineers, data scientists, and analysts to optimize and streamline data workflows, and analytical pipelines on the Databricks platform
- Manage Azure storage solutions, including Blob Storage and Data Lake Storage
- Administer Azure Key Vault for secure storage of secrets and keys
- Configure and manage Azure Data Factory for data integration and ETL processes
- Implement and manage VNETs, firewalls, Azure policies and security best practices
- Set up budgets and alerts to monitor and control Azure costs and spend
- Configure alerts for proactive issue detection and resolution
- Databricks Lakehouse Monitoring
Minimum Qualifications
- Minimum of Bachelor's degree in Computer science, Information systems, or Engineering
- Experience: 7 years of professional experience in DevOps, with a strong focus on Azure. Knowledge of Data Platforms like Databricks, Data Factory (preferred)
- Proficiency in scripting languages such as Python/PySpark, PowerShell, or Bash
- Experience in automating administrative tasks and workflows
- Knowledge of security best practices and compliance requirements
- Experience with ETL processes, data pipelines, and big data technologies
- Experience with backup and restore procedures for Databricks and Azure services
- Ability to troubleshoot and resolve issues in a timely and efficient manner
- Strong verbal and written communication skills
- Ability to document processes, procedures, and configurations clearly
- Commitment to providing high-quality support to internal/external users and stakeholders
- Ability to understand and address the needs of internal and external customers
- Team player with the ability to work collaboratively with cross-functional teams
- Flexibility to adapt to changing requirements and priorities
- Continuous Learning: Eagerness to learn new technologies and continuously improve skills to stay current in a rapidly evolving field.
Preferred Qualifications
- Deep understanding of Databricks architecture, features, and best practices
- Experience with Data Lake and Databricks SQL for advanced data management
- Experience in performance tuning and optimization for both Databricks and Azure environments
- Experience supporting/administering data science and ML workloads in Databricks
- Knowledge of disaster recovery planning and implementation
- Experience integrating Databricks with other data platforms and tools
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
