Solutions Engineer

Cloudera

Solutions Engineer supporting customers in deploying the CDP Platform at Cloudera. Utilizing strong technical skills and collaborating with cross-functional teams for delivery.

Posted 4/29/2026full-timeRemote • Connecticut, Massachusetts, New York, Pennsylvania • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureCloudGoogle Cloud PlatformHadoopHDFSJavaKafkaKubernetesLinuxOpenShiftPythonScalaSparkSQLYarn

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

5+ years of professional work experience in a similar position
Strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude)
Demonstrated problem solving and analytical skills
Experience in Solution Architecture/Engineering
Experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.)
Experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.)
Interest in achieving public cloud certification
Experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift
Experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration
Some knowledge of differentiators across the competitive landscape
Basic software development experience in Java, Scala or Python
Experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications
Interest in Data Science and understanding the difference between Data Engineering and Applied Science
Bachelor's Degree or equivalent experience in a Technical Field

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI ecosystemsSolution ArchitectureApache HadoopHDFSYARNSparkHiveImpalaKuduSQL

Soft Skills

problem solvinganalytical skillscustomer-centric designcross-functional collaborationtechnical selling strategyevangelismtransforming feedbackcommunicationteamworkleadership

Certifications

public cloud certification