Top 20 USA Jobs C2C Requirement || Sr. Databricks Architect || Princeton, NJ c2c Quick Apply

A Databricks Architect is responsible for designing and implementing big data and analytics solutions using the Databricks platform. Here are the top 20 job responsibilities of a Databricks Architect:

1. Solution Architecture:
   • Design end-to-end big data and analytics solutions using the Databricks platform.
2. System Integration:
   • Integrate Databricks with other components of the data ecosystem, such as data lakes, data warehouses, and streaming platforms.
3. Cluster Configuration:
   • Configure and optimize Databricks clusters for performance, scalability, and resource utilization.
4. Data Ingestion:
   • Implement data ingestion processes from various sources into Databricks, ensuring data quality and reliability.
5. Data Transformation:
   • Develop data transformation workflows using Apache Spark and Databricks notebooks to process and analyze large datasets.
6. Optimization Techniques:
   • Implement optimization techniques for Spark jobs and queries to improve overall performance.
7. Security Implementation:
   • Implement security measures for data at rest and in transit within the Databricks environment.
8. Access Control:
   • Set up and manage access control policies to restrict and monitor user access to Databricks workspaces and resources.
9. Environment Monitoring:
   • Implement monitoring solutions to track the performance, health, and usage of Databricks environments.
10. Cost Management:
    • Optimize resource usage and costs associated with Databricks clusters and workloads.

1. Best Practices Adherence:
   • Ensure adherence to best practices in Databricks development, configuration, and deployment.
2. Documentation:
   • Create and maintain documentation for Databricks architectures, configurations, and processes.
3. Collaboration with Data Scientists:
   • Collaborate with data scientists to implement machine learning models using Databricks MLlib or MLflow.
4. Real-Time Analytics:
   • Implement real-time analytics and streaming data processing using Databricks Structured Streaming.
5. Data Governance:
   • Implement data governance and metadata management practices within Databricks to ensure data quality and compliance.
6. Disaster Recovery Planning:
   • Develop and implement disaster recovery plans for Databricks environments to ensure business continuity.
7. Training and Knowledge Sharing:
   • Provide training and knowledge-sharing sessions to internal teams on Databricks best practices and capabilities.
8. Troubleshooting:
   • Troubleshoot and resolve issues related to Databricks platform, Spark jobs, and data pipelines.
9. Performance Tuning:
   • Continuously optimize and fine-tune Databricks configurations based on performance monitoring and analysis.
10. Stay Informed:
    • Stay updated on the latest features and updates in the Databricks platform and incorporate relevant advancements into solutions.

Databricks Architects play a crucial role in ensuring the effective utilization of the Databricks platform for big data and analytics purposes. Their expertise is essential for designing scalable, performant, and secure data processing solutions.