Solutions Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design and deliver customer-focused solution designs, proposed architectures, and business outcomes to various stakeholders, including developers, architects, CTOs, and CIOs.

• Collaborate with cross-functional teams such as Sales, Marketing, Product Management, Services, Support, Training, and Engineering to communicate Cloudera’s Vision to customers.

• Guide customers on use case patterns through discovery sessions and requirements workshops.

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

• Work alongside teammates and management to establish a technical selling strategy.

• Engage with the Cloudera community by participating in evangelism activities (blogs, meetups, industry events) and contribute to both internal and external knowledge repositories.

⛳️ Requirements

• Over 5 years of relevant professional experience in a similar role, selling solutions to business leaders and technical advocates in the enterprise sector.

• Proven problem-solving and analytical capabilities.

• Experience in Solution Architecture/Engineering, with the ability to listen to customer requirements, whiteboard and propose solution architectures, and engage hands-on with technology to design, build, and illustrate real business value.

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

• Experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.).

• A desire to achieve public cloud certification.

• Proficient in Linux OS and bare metal, VM, and distributed container platforms such as Kubernetes or OpenShift.

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

• Knowledge of Data Lake formation, Data Warehousing principles, SQL and relational database patterns, and application integration.

• Understanding of differentiators within the competitive landscape.

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

• Familiarity with Data Flow, Queues, and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications.

• Interest in Data Science and clarity on the distinction between Data Engineering and Applied Science.

• A strong sense of camaraderie with colleagues, with a commitment to collaborative success.

• Passionate about your work and capable of inspiring 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 & Physical Wellness programs.

• Phone and Internet Reimbursement program.

• Access to Continued Career Development opportunities.

• Comprehensive Benefits and Competitive Packages.

• Paid Volunteer Time.

• Employee Resource Groups.