Databricks Cloud Architect

Overview:

Key Responsibilities:

• Design and implement Databricks cloud solutions to meet business requirements
• Collaborate with stakeholders to understand data and analytics requirements
• Develop scalable and efficient ETL processes using Databricks platform
• Provide technical leadership in architecting and implementing cloudbased data solutions
• Ensure the security and compliance of Databricks cloud solutions
• Optimize Databricks clusters for performance and costeffectiveness
• Train and mentor team members on Databricks best practices
• Collaborate with data scientists and analysts to deploy models and visualizations
• Implement monitoring and logging solutions for Databricks environment
• Stay updated with Databricks platform updates and best practices

Required Qualifications:

• Bachelors or Masters degree in Computer Science or related field
• 818 years of experience in data engineering and cloud architecture
• Proven experience in designing and implementing Databricks solutions
• Expertise in cloud platforms such as AWS Azure or Google Cloud Platform
• Strong understanding of big data technologies and tools
• Proficiency in programming languages such as Python Scala or Java
• Experience with data warehousing and ETL processes
• Ability to troubleshoot and optimize Databricks clusters
• Excellent communication and teamwork skills
• Certifications in Databricks and cloud platforms is a plus

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