Job Description

If the idea of making data and analytics easy and accessible for everyone excites you, we want you on our team! Cloudera seeks a proactive, collaborative, creative and customer-orientated Sr. Solutions Consultant, Data Services to join our Data Services adoption and acceleration team. You will own, evangelize and collaborate with our customers, devise reference enterprise data architectures. You will get an opportunity to be part of a team that will foster a long-standing relationship with our customers building strong trusted advisor relationships. If youre looking for a role that encourages creative freedom, lets you influence product roadmap and impact our most interesting use cases, then this is the place for you! As a Sr. Solutions Consultant, Data Services you will : Help shape customer decisions to adopt Cloudera Data Platform (CDP) as a productspecialist and trusted advisor Provide expert-level assistance to customers, addressing technical challenges and offeringsolutions to optimize the use of Cloudera's products Collaborate closely with sales, product, and engineering teams to ensure alignment withcustomer needs and the delivery of tailored solutions Gather and communicate customer feedback to internal teams, contributing to productimprovements and the development of new features Contribute to the Cloudera community through blogs, meetups, industry events, and byadding to both internal and external knowledge repositories Understand and leverage advancements in AI and Hybrid Cloud to better serve clients and address their unique needs Were excited about you if you have: 4+ years of professional experience in providing solutions, reference architectures, anddriving product adoption 3+ years of hands-on experience with Kubernetes, RedHat OpenShift, Rancher, Docker, or similar technologies Proficient in Linux/RHEL with hands-on experience Experience with Amazon AWS, Microsoft Azure, and/or Google Cloud, including relevant skills and certifications Strong experience with SDS and SDN components within the Kubernetes ecosystem Hands-on knowledge of the data ecosystem, including AI/ML, data warehousing, dataengineering, and data-in-motion technologies Experience with Java/Golang (Go), Python, or other scripting languages Familiarity with NVIDIA GPU technologies A passion for your work and a strong drive for success A Bachelor's or Master's degree from an accredited university is required