Solutions Engineer - São Paulo, Brazil
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Before you apply
LocationBrazil-Remote
Work moderemote
Typefull-time
SeniorityMid
Experience5+ yrs
DepartmentSales Engineering
Company size1,001–5,000 people
PostedOct 22, 2026 · 2w ago
Verified live4d ago
At a glanceSummarised by Seekless from the posting.
5+ years of professional work experience in a pre-sales customer facing role (Solutions Engineer, Sales Engineer, technical consultant, Solutions Architecture or similar position) acting as a co-seller selling solutions to business leaders and technical champions in the enterprise
Demonstrated experience conducting technical discovery, whiteboarding proposed solution architectures, and remaining hands-on with the technology 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 can talk to the benefits of a centralized architecture for both data management and data access
Experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.)
Experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift
Some experience of 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 understand the difference between Data Engineering and Applied Science
Care about colleagues and get the job done together, passionate, and inspire people
Bachelor’s Degree or equivalent experience in a Technical Field
Understanding of 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.)
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
EEO/VEVRAA
Skills
Apache Hadoop
HDFS
YARN
Spark
Hive
Impala
Kudu
Solr
AWS
Azure
GCP
IBM Cloud
Linux
Kubernetes
OpenShift
Java
Scala
Python
SQL
Nifi
Kafka
Flink
HBase
Phoenix
Accumulo
Druid
Cassandra
MongoDB
Teradata
Netezza
GreenPlum
Exadata
R
Anaconda
Jupyter
Talend
DataStage
Informatica BDM
Qlik
Tableau
Zoomdata
Tibco
MuleSoft
Spring Integration
Benefits
Unlimited PTO
Remote stipend
Business Area:
About the role
Sales Engineering
Seniority Level:
Mid-Senior level
Job Description:
About the company
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we’re the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurring trends and patterns over time, and staying competitive by implementing predictive actions for their business that will yield positive outcomes.
Cloudera’s CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers.
As a Cloudera Solutions Engineer, you will drive the technical pre-sales motion in close partnership with Account Executives to win deals, build lasting customer relationships and help customers be successful in deploying the CDP platform. Working alongside sales teams, you will partner directly with prospective customers to run deep discovery and unpack their business drivers, pain points, and technical goals. You will utilize your strong technical skills, business competencies and customer service orientation, to provide the highest level of solution design, and deliver technical value to sales teams, prospects and customers, to support sales goals.
As the Solutions Engineer you will:
•
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
We’re excited about you if you have: (Minimum Qualifications)
•
5+ years of professional work experience in a pre-sales customer facing role (Solutions Engineer, Sales Engineer, technical consultant, Solutions Architecture or similar position) acting as a co-seller selling solutions to business leaders and technical champions in the enterprise.
•
Demonstrated experience conducting technical discovery, whiteboarding proposed solution architectures, and remaining hands-on with the technology to run demos, build technical proofs of concept, and deliver 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 basic software development experience in Java, Scala or Python
•
You have demonstrated problem solving and analytical skills.
•
You have some knowledge of differentiators across the competitive landscape
•
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 may also have: (Preferred Qualifications)
•
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.)
•
You may have experience with Data Flow, Queues and Stream Processing (Nifi, Kafka, Flink, Spark) in enterprise applications
The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits.
What you can expect from us:
•
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
Legal
EEO/VEVRAA