Solutions Engineer - São Paulo, Brazil

Overview

Drive the technical pre-sales motion for Cloudera's CDP platform, partnering with Account Executives to win deals and help customers deploy successfully.

What you'll do

• Run deep technical discovery to unpack prospects' business drivers, pain points and technical goals.
• Create and deliver customer-centric solution designs, proposed architectures and business outcomes to developers, architects, CTOs and CIOs.
• 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.
• Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training and Engineering to share Cloudera's vision with customers.
• Participate in the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories.

What you'll need

• 5+ years of professional work experience in a pre-sales customer facing role (Solutions Engineer, Sales Engineer, technical consultant, Solutions Architecture or similar) co-selling solutions to business leaders and technical champions in the enterprise.
• Demonstrated experience conducting technical discovery, whiteboarding proposed solution architectures, and staying hands-on to run demos, build technical proofs of concept and deliver real business value.
• Experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.), and able to discuss the benefits of a centralized architecture for data management and data access.
• Experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.).
• Interest in achieving a public cloud certification.
• Experience with Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift.
• Some experience with specific private cloud infrastructures (server hardware, storage, networking).
• Some experience with the formation of data lakes, principles of data warehousing, SQL and relational database patterns, and application integration.
• Some basic software development experience in Java, Scala or Python.
• Demonstrated problem solving and analytical skills.
• Some knowledge of differentiators across the competitive landscape.
• Interest in Data Science and understanding of the difference between Data Engineering and Applied Science.
• Care about colleagues and get the job done together; passionate about what you do and inspire people around you.
• Bachelor's Degree or equivalent experience in a technical field.

Nice to have

• Understanding of the challenges in operations and integration of enterprise platforms for security and data governance.
• Experience with, and interest in, open-source software and development practices.
• NoSQL or operational-DB experience (HBase, Phoenix, Accumulo, Druid, Cassandra, MongoDB, etc.).
• Ability to 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.).
• Experience with data flow, queues and stream processing (NiFi, Kafka, Flink, Spark) in enterprise applications.

Details

• Location: Brazil, remote.