Solutions Engineer

Overview

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 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.

Responsibilities

• 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
• Participate in evangelism activities (blogs, meetups, industry events)
• Mentor associates, participate in creation and maintenance of enablement materials across the team
• Contribute to internal and external knowledge repositories

Qualifications

• Bachelor's Degree in a Technical Field
• 3-5+ years of professional work experience in a similar position with Enterprise Software and Big Data
• 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; 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
• Good knowledge of Infrastructure (hardware, storage, network), Java/.NET, and SQL
• Interest in Data Science and understanding the difference between data engineering and applied science
• Strong Linux skills
• Excellent written and verbal communication skills
• Analytical and problem-solving skills
• Optional: Demonstrated knowledge of Big Data ecosystem (HDFS & YARN, Spark, Impala, KUDU, Solr, etc.)
• Optional: Streaming experience (NiFi, Kafka, Flink, Spark, etc.)
• Optional: NoSQL experience (HBase, Cassandra, MongoDB, etc.)
• Optional: EDW experience - Teradata, Netezza, Greenplum, Exadata
• Optional: Data Science and ML experience - R, Python, deep learning frameworks
• Optional: Integration products experience (Talend, DataStage, Informatica, BDM, Qlik, Tableau, Zoomdata, IBM, Oracle, etc.)
• Four-year degree (Bachelor's) from an accredited university
• Ability to travel domestically and internationally

Benefits

• Generous PTO Policy
• Support for 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