Solutions Engineer

🕒 May 19

🏄 California, Idaho, +3 more states – Remote

🏄 California – Remote 🥔 Idaho – Remote 🎰 Nevada – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $150k - $180k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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Cloudera

WebsiteLinkedInAll Job Openings

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

• Provide advice in customer use cases discovery and requirements workshops • Deep understanding of AI concepts and best practices • Ability to troubleshoot data science workloads • Actively participate within the Cloudera community • Create and deliver customer-centric solution designs • Present roadmap, vision, proposed architectures and business outcomes to technical teams • Responsible for defining technical selling approach for accounts • Regularly participate in account penetration / success strategy planning, working with sales counterparts and solutions engineering management • Understand the core differentiators across the competitive landscape • Understand the technology ecosystem • Transform customer feedback into actionable product roadmap items • A share of evangelism activities (blogs, meetups, industry events) • Mentor associates, participate in creation and maintenance of enablement materials across the team • Participate in contribution to internal and external knowledge repositories

🎯 Requirements

• Bachelor’s Degree in a Technical Field • 3-5 + years of professional work experience in a similar position • Enterprise Software and Big Data experience • AI and/or Data Science use-case development • Demonstrated understanding of the challenges in operations, Security and Data Governance within the enterprise • Solution Architecture/Engineering experience as a field of practice (able to listen to customer requirements, whiteboard and propose solution architecture, and get hands-on with the tech to design, build, and demonstrate real business value) • You are on good terms with Infrastructure (Hardware, Storage, Network), Java/.NET, and SQL • You have an interest in Data Science and understand the difference between Data Engineering and Applied Science • You have strong Linux skills • Demonstrated Strong Written and verbal Communication skills • Demonstrated problem solving and analytical skills

🏖️ 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