Key skills
AI ecosystemsAgentic AIEthical AI solutionsGenerative AI solutionsAI Development ToolsSolution ArchitectureApache Hadoop ecosystemHDFSYARNSparkHiveImpalaKuduSolrPublic cloud infrastructuresAWSAzureGCPIBM CloudLinux OSBare metalVirtual MachinesKubernetesOpenShiftPrivate cloud infrastructuresData LakesData WarehousingSQLRelational databasesApplication integrationJavaScalaPythonData FlowQueuesStream ProcessingNifiKafkaFlinkData ScienceSecurityData GovernanceOpen-source softwareNoSQL databasesOperational databasesEDWTeradataNetezzaGreenPlumExadataMLRAnacondaJupyterDeep Learning FrameworksIntegration ProductsTalendDataStageInformatica BDMQlikTableauZoomdataTibcoMuleSoftIBM integrationOracle integrationSpring IntegrationAnalytical skillsCustomer service orientationPassionNoSQLAIDeep LearningGenerative AIClaudeAgenticData EngineeringHadoopCassandraSpringPhoenixMongoDBOracleyarnProduct ManagementProblem SolvingSales
About this role
Cloudera is a company that empowers people to transform complex data into actionable insights, serving as a preferred data partner for top companies across various industries. The Solutions Engineer will assist customers in deploying the CDP platform by providing expert solution designs and technical value to support sales goals.
Responsibilities:
- 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:
- 5+ years of professional work experience in a similar position, selling solutions to business leaders and technical champions in the enterprise
- You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude)
- You have demonstrated problem solving and analytical skills
- You have experience in Solution Architecture/Engineering 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
- 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 knowledge of differentiators across the competitive landscape
- You have some basic software development experience in Java, Scala or Python
- You may have experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications
- 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 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.)