Solutions Engineer

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Cloudera

1001 - 5000 employees

Founded 2008

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 $4.1M Venture Round on 2013-01

Enterprise • SaaS • Artificial Intelligence

Cloudera is a leading enterprise data cloud company that empowers businesses to manage and analyze data across any environment. Offering a hybrid data platform, Cloudera facilitates modern data architectures with solutions like open data lakehouse, scalable data mesh, and unified data fabric, designed for artificial intelligence, data engineering, and machine learning. Key industries served include financial services, telecommunications, healthcare, and more, where Cloudera's platform enables secure, scalable, and effective data management. By leveraging AI and advanced analytics at scale, Cloudera helps organizations transform their data into actionable insights.

📋 Description

• Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels – developers, architects, CTO, and CIO. • Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering. • Advise customers on use case patterns through discovery and requirements workshops. • Transform customer feedback into actionable product roadmap items. • Define technical selling strategy with management support. • Participate within the Cloudera community, share evangelism activities and contribute to knowledge repositories.

🎯 Requirements

• 5+ years of professional work experience in a similar position, selling solutions to business leaders and technical champions in the enterprise. • Strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude). • Demonstrated problem solving and analytical skills. • Experience in Solution Architecture/Engineering with customer requirements handling. • Experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components. • Experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) • Interest in achieving public cloud certification. • Experience with the Linux OS and platforms like Kubernetes or OpenShift. • Experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns. • Knowledge of differentiators across the competitive landscape. • Basic software development experience in Java, Scala or Python. • Interest in Data Science and understanding of Data Engineering vs Applied Science. • Passionate about inspiring colleagues.

🏖️ Benefits

• Generous PTO Policy • Support work life balance with Unplugged Days • 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

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