Solutions Engineer

Posted 2 Days Ago
Be an Early Applicant
2 Locations
In-Office
Expert/Leader
Artificial Intelligence • Cloud • Software • Big Data Analytics
Shape the Global Future of Enterprise AI Come build the future of enterprise AI with a global team that puts its people
The Role
Provide technical and business consultation throughout the sales process. Responsibilities include discovering customer requirements, designing and demonstrating solutions, presenting architectures and business outcomes, defining technical sales strategies, supporting account planning, understanding competitive differentiators, translating feedback into product roadmap items, evangelizing solutions, and mentoring team members. The role focuses on enterprise software, big data, data governance, infrastructure, generative AI, and solution architecture.
Summary Generated by Built In

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

Skills Required

  • Bachelor’s degree in a technical field from an accredited university
  • 10+ years of professional experience in a similar Solutions Engineering or Solution Architecture position
  • Enterprise software and big data experience
  • Understanding of enterprise operations, security, and data governance challenges
  • Hands-on generative AI experience
  • Solution architecture or engineering experience, including requirements discovery, whiteboarding, solution design, building, and demonstrations
  • Strong Linux skills
  • Strong written and verbal communication skills
  • Problem-solving and analytical skills
  • Ability to travel domestically and internationally
  • Big data ecosystem knowledge, including HDFS, YARN, Spark, Impala, Kudu, or Solr
  • Streaming technology experience with NiFi, Kafka, Flink, or Spark
  • NoSQL experience with HBase, Cassandra, or MongoDB
  • Enterprise data warehouse experience with Teradata, Netezza, Greenplum, or Exadata
  • Data science and machine learning experience with R, Python, or deep learning frameworks
  • Integration product experience with Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, IBM, or Oracle
  • Four-year degree

Cloudera Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.

  • Fair & Transparent Compensation Pay practices are presented as equity-audited with a recognized Fair Pay Workplace certification and ongoing internal reviews. Compensation is often characterized as competitive for similar-sized peers, with visible market-aligned ranges for key roles.
  • Healthcare Strength Benefit descriptions emphasize comprehensive medical, dental, and vision coverage, alongside life and disability insurance, an EAP, wellness programming, and U.S. gym reimbursement. Health coverage is described as strong in practice.
  • Leave & Time Off Breadth Policies include generous PTO and holidays plus recurring companywide Unplugged Days that create extended weekends. Parental and medical leave are also highlighted as part of the core package.

Cloudera Insights

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The Company
HQ: Santa Clara, CA
3,092 Employees
Year Founded: 2008

What We Do

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.

Why Work With Us

Impact at Scale: The infrastructure we build solves massive problems for top global banks, telecommunications giants, and healthcare providers. Cutting-Edge Tech: Work directly at the intersection of Open Source, Machine Learning, and Generative AI. Unmatched Flexibility: Enjoy a remote-friendly, hybrid culture that respects your time—including

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