Solutions Engineer

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. Cloudera is seeking a Solutions Engineer to come join our team.. You will utilize your strong technical, business competencies and customer service skills to provide the highest level of business and technical consultation to sales teams, prospects and customers to support sales goals. As a Solutions Engineer you will: Provide advice in customer use cases discovery and requirements workshops 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 We’re excited about you if you have: Bachelor’s Degree in a Technical Field 10+ years of professional work experience in a similar position Enterprise Software and Big Data experience Demonstrated understanding of the challenges in operations, Security and Data Governance within the enterprise Solid hands-on experience in the Generative AI space 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 You may also have: Demonstrated knowledge of Big Data Ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr etc ), can talk to the benefits of a centralized architecture for both data management and data access Streaming experience (Nifi, Kafka, Flink, Spark, etc.) NoSQL experience (HBase, Cassandra, MongoDB, etc.) EDW experience – Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience – (R, Python, Deep Learning Frameworks etc.) Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, IBM, Oracle, etc.) You thrive in a changing environment Four year degree (Bachelor's) from accredited university required Ability to travel domestically and internationally What you can expect from us: 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 EEO/VEVRAA #LI-SV1