Solutions Engineer - East Coast

Reposted 23 Days Ago
7 Locations
In-Office or Remote
150K-185K Annually
Senior level
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
As a Cloudera Solutions Engineer, you will create customer-centric solutions, lead cross-functional collaborations, and transform customer feedback into product improvements.
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.

Solutions Engineer

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:

  • Deep understanding of AI concepts and best practices

  • Provide advice in customer use cases discovery and requirements workshops

  • 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:

  • Hands-on experience with the full lifecycle of AI models - from development and testing to production deployment, monitoring, and retraining/versioning

  • You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude).

  • AI and/or Data Science use-case development

  • You have an interest in Data Science and understand the difference between Data Engineering and Applied Science

  • You have experience as a Solutions Engineer / Pre-Sales Solutions Architecture as a field of practice (an ability to listen to customer requirements, whiteboard and propose solution architectures, and be hands-on with the tech) to design, build, and demonstrate real business value

  • 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

  • Bachelor’s Degree in a Technical Field

  • You are on good terms with Infrastructure (Hardware, Storage, Network), Java/.NET, and SQL.

  • 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:

Massachusetts: $150,000 - $185,000

New York: $150,000 - $185,000

Connecticut: $150,000 - $185,000

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

EEO/VEVRAA

#LI-MH2

#LI-Remote

Skills Required

  • 5+ years of professional work experience in a similar position
  • Strong experience with AI ecosystems
  • Experience in Solution Architecture/Engineering
  • Experience with the Apache Hadoop ecosystem and related components
  • Experience with public cloud infrastructures
  • Experience with Linux OS and container platforms
  • Understanding of Data Lakes and Data Warehousing principles
  • Basic software development experience in Java, Scala or Python
  • Bachelor's Degree or equivalent experience in a Technical Field

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.

  • Leave & Time Off Breadth Unplugged Days provide recurring company‑wide extra days off in addition to generous PTO and holidays, creating predictable recharge time. Time away is a prominent part of the package and is consistently emphasized alongside regular leave options.
  • Healthcare Strength Comprehensive medical, dental, and vision coverage is paired with life and disability insurance, an EAP, and wellness programming. Added lifestyle support includes gym reimbursement in the U.S. and health checkups in some locations.
  • Fair & Transparent Compensation The company emphasizes equitable compensation and maintains a Fair Pay Workplace certification. Pay is described as competitive for many technical and go‑to‑market roles, aligning with this stance.

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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