Job Title: Databricks Administrator
Job Summary:
The Databricks Administrator is responsible for the management, configuration, and maintenance of the Databricks platform within the organization. This role ensures that Databricks environments are optimized for performance, secured according to best practices, and effectively support the needs of data engineers, data scientists, and analysts. The ideal candidate will have strong technical skills in cloud-based data platforms, experience with big data technologies, and a deep understanding of Databricks functionalities.
Key Responsibilities:
- Platform Administration:
- Manage and monitor Databricks workspaces, clusters, jobs, and notebooks.
- Configure and optimize cluster policies, instance pools, and auto-scaling settings to ensure efficient resource usage.
- Oversee the installation, configuration, and maintenance of Databricks components and integrations.
- User and Access Management:
- Manage user access and permissions, ensuring compliance with organizational security policies.
- Configure and manage Identity and Access Management (IAM) roles and policies within Databricks.
- Support users in onboarding, troubleshooting access issues, and ensuring proper usage of the platform.
- Security and Compliance:
- Implement and enforce security best practices, including encryption, network security, and data access controls.
- Monitor and audit Databricks environments to ensure compliance with data governance policies and regulatory requirements.
- Work with the IT security team to ensure that Databricks is integrated with the organization’s security protocols.
- Performance Monitoring and Optimization:
- Monitor the performance of Databricks clusters and jobs, identifying and resolving issues related to resource usage, performance bottlenecks, and job failures.
- Optimize the performance of data pipelines, ETL processes, and machine learning workflows on Databricks.
- Implement monitoring and alerting solutions to proactively address performance and reliability issues.
- Support and Troubleshooting:
- Provide technical support to users, including data engineers, data scientists, and analysts, in their use of Databricks.
- Troubleshoot and resolve issues related to cluster configurations, job execution, data access, and integration with other systems.
- Work closely with Databricks support and engineering teams to address platform issues and implement fixes or improvements.
- Collaboration and Communication:
- Collaborate with data engineers, data scientists, and other stakeholders to understand their needs and ensure that the Databricks environment supports their requirements.
- Communicate platform updates, changes, and best practices to users and stakeholders.
- Participate in cross-functional projects and initiatives involving the Databricks platform.
- Continuous Improvement:
- Stay updated with the latest features, updates, and best practices related to Databricks and big data technologies.
- Recommend and implement improvements to the Databricks environment to enhance performance, security, and user experience.
- Contribute to the development of documentation, training materials, and guidelines for Databricks users.
Qualifications:
- Education:
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Experience:
- 3+ years of experience in administering cloud-based data platforms, with a focus on Databricks.
- Experience with big data technologies such as Apache Spark, Hadoop, and data lakes.
- Proficiency in cloud platforms like AWS, Azure, or Google Cloud, particularly in managing data and analytics services.
- Skills:
- Strong understanding of Databricks architecture, including clusters, jobs, notebooks, and integrations.
- Excellent problem-solving skills and attention to detail.
- Strong communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Familiarity with programming languages such as Python, Scala, or SQL.
- Certifications:
- Databricks Certified Associate/Professional Administrator or similar certification is preferred.
- Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Data Engineer Associate) are a plus.
