One of our client is looking for a Data Bricks User Support Engineer Job Title: Data Bricks User Support Engineer Location: Richmond, VA Hourly Rate: $55/hour Job Type: Contract- 12 months Experience Level: 7+ Years Job Description: We are seeking a highly experienced and skilled Data Bricks User Support Engineer to join our team in Richmond, VA. The ideal candidate will have a strong background in AWS and Data Bricks, with a proven track record of providing excellent technical support to users. This role involves troubleshooting complex issues, collaborating with development teams, and ensuring our users have a seamless experience with our Data Bricks platform. Responsibilities: • Provide timely and effective technical support to internal users of the Data Bricks platform. • Diagnose and resolve a wide range of technical issues related to Data Bricks, including performance tuning, cluster management, and notebook errors. • Troubleshoot issues within the AWS environment as they relate to Data Bricks functionality, such as S3 access, EC2 instances, and networking. • Collaborate with engineering and data science teams to escalate and resolve complex technical problems. • Document support procedures, solutions, and best practices to build a comprehensive knowledge base. • Conduct training and create support materials to help users become more proficient with Data Bricks. • Monitor system performance and proactively identify potential issues. • Participate in on-call rotation as needed to provide support outside of regular business hours. Required Skills and Qualifications: • 7+ years of professional experience in a technical support or engineering role. • Extensive experience with Data Bricks, including cluster configuration, job scheduling, and notebook development. • Strong proficiency with Amazon Web Services (AWS) and its core services (EC2, S3, IAM, VPC, etc.). • Excellent problem-solving and analytical skills with a methodical approach to troubleshooting. • Strong communication and interpersonal skills, with the ability to explain complex technical concepts clearly and concisely to non-technical users. • Experience with scripting languages like Python or Scala is a plus. • Experience with SQL and data warehousing concepts. • A strong commitment to user satisfaction and a proactive, customer-focused mindset. Interview Process: • Round 1: Online Video Interview • Round 2: F2F (Face-to-Face) Interview