Solutions Engineer

• Drive the technical pre-sales motion in partnership with Account Executives to win deals
• Build lasting customer relationships and help customers successfully deploy the CDP platform
• Partner with prospective customers to conduct deep discovery and understand business drivers, pain points, and technical goals
• Create and deliver customer-centric solution designs, proposed architectures, and business outcomes to developers, architects, CTOs, and CIOs
• Work with Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera’s vision with customers
• Advise customers on use case patterns through discovery and requirements workshops
• Transform customer feedback into actionable product roadmap items
• Work with teammates and management to define technical selling strategy
• Participate in Cloudera community and evangelism activities, including blogs, meetups, and industry events
• Contribute to internal and external knowledge repositories

• 5+ years of professional work experience in a pre-sales customer-facing role such as Solutions Engineer, Sales Engineer, technical consultant, Solutions Architecture, or similar
• Experience acting as a co-seller selling solutions to business leaders and technical champions in the enterprise
• Experience conducting technical discovery, whiteboarding proposed solution architectures, running demos, building technical proofs of concept, and delivering business value
• Experience with the Apache Hadoop ecosystem, including HDFS, YARN, Spark, Hive, Impala, Kudu, and Solr
• Experience with public cloud infrastructures such as AWS, Azure, GCP, or IBM Cloud
• Interest in achieving a public cloud certification
• Experience with Linux OS and bare metal, VM, and distributed container platforms such as Kubernetes or OpenShift
• Some experience with private cloud infrastructures, including server hardware, storage, and networking
• Experience with Data Lakes, Data Warehousing principles, SQL, relational database patterns, and application integration
• Basic software development experience in Java, Scala, or Python
• Demonstrated problem-solving and analytical skills
• Knowledge of differentiators across the competitive landscape
• Interest in Data Science and understanding of the difference between Data Engineering and Applied Science
• Bachelor’s Degree or equivalent experience in a Technical Field
• Preferred: enterprise platform security and data governance, open-source software and development practices, NoSQL or operational databases, EDW, Data Science and ML, integration products, and data flow, queues, or stream processing

• Generous PTO Policy
• Unplugged Days supporting work-life balance
• Flexible WFH Policy
• Mental & Physical Wellness programs
• Phone and Internet Reimbursement program
• Access to Continued Career Development
• Comprehensive Benefits and Competitive Packages
• Paid Volunteer Time
• Employee Resource Groups