Solutions Engineer

📋 Description

• Design and present customer-focused solution architectures, proposed frameworks, and business results to all tiers, including developers, architects, CTOs, and CIOs.

• Collaborate with various teams, such as Sales, Marketing, Product Management, Services, Support, Training, and Engineering, to communicate Cloudera’s Vision to clients.

• Guide customers on use case scenarios through exploratory and requirements workshops.

• Convert customer feedback into actionable items for the product roadmap.

• Collaborate with colleagues and management to establish a technical sales strategy.

• Engage with the Cloudera community by sharing advocacy efforts (blogs, meetups, industry events) and contributing to both internal and external knowledge bases.

⛳️ Requirements

• Over 5 years of professional experience in a similar role, selling solutions to business leaders and technical advocates within enterprises.

• Extensive knowledge of AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions, and AI Development Tools like Cursor, CoPilot, and Claude).

• Proven problem-solving and analytical capabilities.

• Experience in Solution Architecture/Engineering, including listening to customer needs, proposing solution architectures on a whiteboard, and being hands-on with technology to design, build, and showcase tangible business value.

• Familiarity with the Apache Hadoop ecosystem (HDFS, YARN) and related technologies (Spark, Hive, Impala, Kudu, Solr, etc.), with the ability to discuss the advantages of a centralized architecture for data management and access.

• Proficient in public cloud environments (AWS, Azure, GCP, IBM Cloud, etc.).

• Willingness to pursue public cloud certification.

• Experience with Linux OS and various infrastructure setups, including bare metal, VM, and distributed container platforms like Kubernetes or OpenShift.

• Some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking).

• Basic understanding of Data Lakes, Data Warehousing principles, SQL and relational database patterns, and application integration.

• Awareness of competitive differentiators in the market.

• Basic software development experience in Java, Scala, or Python.

• Some familiarity with Data Flow, Queues, and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise contexts.

• Interest in Data Science and a clear understanding of the distinction between Data Engineering and Applied Science.

• A passion for your work that inspires those around you.

• Bachelor’s Degree or equivalent experience in a Technical Field.

🏝️ Benefits

• Generous PTO Policy.

• Support for work-life balance with Unplugged Days.

• Flexible Work From Home Policy.

• Mental and Physical Wellness programs.

• Phone and Internet Reimbursement program.

• Access to Ongoing Career Development.

• Comprehensive Benefits and Competitive Packages.

• Paid Volunteer Time.

• Employee Resource Groups.