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

3-5 + 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

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