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