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 workshopsActively participate within the Cloudera communityCreate and deliver customer-centric solution designsPresent roadmap, vision, proposed architectures and business outcomes to technical teamsResponsible for defining technical selling approach for accountsRegularly participate in account penetration / success strategy planning, working with sales counterparts and solutions engineering managementUnderstand the core differentiators across the competitive landscapeUnderstand the technology ecosystemTransform customer feedback into actionable product roadmap itemsA share of evangelism activities (blogs, meetups, industry events) Mentor associates, participate in creation and maintenance of enablement materials across the teamParticipate in contribution to internal and external knowledge repositories

We’re excited about you if you have:

Bachelor’s Degree in a Technical Field10+ years of professional work experience in a similar positionEnterprise Software and Big Data experienceDemonstrated understanding of the challenges in operations, Security and Data Governance within the enterpriseSolid hands-on experience in the Generative AI spaceSolution 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 ScienceYou have strong Linux skillsDemonstrated Strong Written and verbal Communication skillsDemonstrated 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 accessStreaming experience (Nifi, Kafka, Flink, Spark, etc.)NoSQL experience (HBase, Cassandra, MongoDB, etc.)EDW experience – Teradata, Netezza, GreenPlum, ExadataData 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 environmentFour year degree (Bachelor's) from accredited university requiredAbility to travel domestically and internationally

What you can expect from us:

Generous PTO Policy Support work life balance with Unplugged DaysFlexible WFH Policy Mental & Physical Wellness programs Phone and Internet Reimbursement program Access to Continued Career Development Comprehensive Benefits and Competitive Packages Paid Volunteer TimeEmployee Resource Groups

EEO/VEVRAA