Business Area:
Sales EngineeringSeniority Level:
Mid-Senior levelJob 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.
As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurring trends and patterns over time, and staying competitive by implementing predictive actions for their business that will yield positive outcomes.
Cloudera’s CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers.
As a Cloudera Solutions Engineer, you will drive the technical pre-sales motion in close partnership with Account Executives to win deals, build lasting customer relationships and help customers be successful in deploying the CDP platform. Working alongside sales teams, you will partner directly with prospective customers to run deep discovery and unpack their business drivers, pain points, and technical goals. You will utilize your strong technical skills, business competencies and customer service orientation, to provide the highest level of solution design, and deliver technical value to sales teams, prospects and customers, to support sales goals.
As the Solutions Engineer you will:
- Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels – developers, architects, CTO, and CIO
- Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera’s Vision with customers
- Advise customers on use case patterns through discovery and requirements workshops
- Transform customer feedback into actionable product roadmap items
- Work with teammates and management to define technical selling strategy
- Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories
We’re excited about you if you have: (Minimum Qualifications)
- 5+ years of professional work experience in a pre-sales customer facing role (Solutions Engineer, Sales Engineer, technical consultant, Solutions Architecture or similar position) acting as a co-seller selling solutions to business leaders and technical champions in the enterprise.
- Demonstrated experience conducting technical discovery, whiteboarding proposed solution architectures, and remaining hands-on with the technology to run demos, build technical proofs of concept, and deliver real business value
- You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for both data management and data access
- You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification.
- You have experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift. You may have some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking).
- You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration
- You have some basic software development experience in Java, Scala or Python
- You have demonstrated problem solving and analytical skills.
- You have some knowledge of differentiators across the competitive landscape
- You have an interest in Data Science and understand the difference between Data Engineering and Applied Science
- You care about your colleagues, and you will get the job done together. You are passionate about what you do and inspire people around you
- Bachelor’s Degree or equivalent experience in a Technical Field
You may also have: (Preferred Qualifications)
- You understand the challenges in operations and integration of enterprise platforms for Security and Data Governance in the enterprise
- Experience with, and interest in, open-source software and development practices
- NoSQL or Operational-DB experience (HBase, Phoenix, Accumlo, Druid, Cassandra, MongoDB, etc.) Maybe you can even debate one option over another?
- EDW experience – Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience – (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.)
- Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, Tibco, MuleSoft, IBM, Oracle, Spring Integration, etc.)
- You may have experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits.
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
Skills Required
- 5+ years of professional experience in a pre-sales, customer-facing role such as Solutions Engineer, Sales Engineer, technical consultant, or Solutions Architect
- Experience co-selling enterprise solutions to business leaders and technical champions
- Experience conducting technical discovery, whiteboarding solution architectures, running demos, building proofs of concept, and delivering business value
- Experience with the Apache Hadoop ecosystem, including HDFS, YARN, Spark, Hive, Impala, Kudu, or Solr
- Experience with public cloud infrastructure such as AWS, Azure, GCP, or IBM Cloud
- Interest in obtaining a public cloud certification
- Experience with Linux, bare metal, virtual machines, and distributed container platforms such as Kubernetes or OpenShift
- Experience with private cloud infrastructure, server hardware, storage, or networking
- Experience forming data lakes, data warehousing principles, SQL, relational database patterns, and application integration
- Basic software development experience in Java, Scala, or Python
- Demonstrated problem-solving and analytical skills
- Knowledge of competitive differentiators
- Interest in data science and understanding of the difference between data engineering and applied science
- Bachelor's degree or equivalent experience in a technical field
- Knowledge of enterprise platform security and data governance operations and integration
- Experience with open-source software and development practices
- NoSQL or operational database experience with technologies such as HBase, Phoenix, Accumulo, Druid, Cassandra, or MongoDB
- Enterprise data warehouse experience with Teradata, Netezza, Greenplum, or Exadata
- Data science and machine learning experience with R, Python, Anaconda, Jupyter, or deep learning frameworks
- Experience with integration products such as Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, TIBCO, MuleSoft, IBM, Oracle, or Spring Integration
- Experience with data flow, queues, or stream processing technologies such as NiFi, Kafka, Flink, or Spark
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.
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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.
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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.
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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
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









