Cloudera

Solutions Engineer - West Coast or Mountain

Cloudera  •  $150k - $180k/yr  •  California (Remote)  •  8 days ago
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Job Description

Business Area:

Sales Engineering

Seniority Level:

Mid-Senior level

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.

Solutions Engineer (IC4)

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

  • 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

We’re excited about you if you have:

  • 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

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

This role is not eligible for immigration sponsorship.

The anticipated annual base salary range for this position is:

California: $150,000 - $180,000

Colorado: $150,000 - $180,000

Individual compensation within the published range is determined by the candidate's skills, experience, qualifications, and primary work location. In addition to base pay, sales roles are eligible for Cloudera's commission plan, while non-sales roles are eligible for the corporate incentive plan. All employees receive a comprehensive benefits package.

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

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Cloudera

About Cloudera

Cloudera is the only data and AI platform company that brings AI to data anywhere: in clouds, data centers, and at the edge. Cloudera delivers 100% of data in all forms–whether it is in Cloudera or anywhere in the entire data estate. The world’s largest organizations rely on Cloudera to fuel insights that boost bottom lines, safeguard against threats, and save lives. Learn more at Cloudera.com.

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Recruitment Fraud Alert

It has come to our attention that job seekers have been contacted about fake job opportunities with Cloudera from individuals fraudulently posing as Cloudera employees. These recruiting fraud schemes often include requests for personal information and payments.

Be aware that Cloudera will never request a payment as part of its recruitment process. Additionally, Cloudera will never make a job offer without conducting an interview process. Any information submitted to Cloudera in relation to a job application should only be through our official career portal (https://www.cloudera.com/careers.html). Email communications from Cloudera will come from an email address ending in @cloudera.com.

If you are the target of a recruiting scam, consider filing a report with law enforcement authorities. Cloudera is not responsible for fraudulent job offers and/or any claims, damages, expenses, or other inconvenience connected to recruiting scams.

Industry
IT & Software
Company Size
1,001-5,000 employees
Headquarters
Santa Clara, California
Year Founded
Unknown
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