Business Area:
Professional ServicesSeniority Level:
Mid-Senior levelJob Description:
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.
This role requires the candidate to have the opportunity to develop massively scalable solutions to solve complex data problems using CDP, NiFi, Spark and related Big Data technology. This role is a client facing opportunity that combines consulting skills with deep technical design and development in the Big Data space. This role will present the successful candidate the opportunity to work across multiple industries and large customer organizations.
As the Solutions Architect you will:
Work directly with customers to implement Big Data solutions at scale using the Cloudera Data Platform and Cloudera Dataflow
Design and implement CDP platform architectures and configurations for customers
Perform platform installation and upgrades for advanced secured cluster configurations
Analyze complex distributed production deployments, and make recommendations to optimize performance
Able to document and present complex architectures for the customers technical teams
Work closely with Cloudera’ teams at all levels to help ensure the success of project consulting engagements with customer
Write and produce technical documentation, blogs and knowledgebase articles
Keep current with the Hadoop Big Data ecosystem technologies
We’re excited about you if you have:
Overall 8+ years IT experience, with at least 4+ years of production experience working with Hadoop and/or NiFi, data engineering.
Hands-on experience with all aspects of developing, testing and implementing low-latency big data pipelines.
Demonstrated production experience in data engineering, data management, cluster management and/or analytics domains.
Experience designing data queries against data in the HDFS environment using tools such as Apache Hive
Experience implementing MapReduce, Spark jobs
Experience setting up multi-node Hadoop clusters
Experience in systems administration or DevOps experience with one or more open-source operating systems [Big Data Developers interested in Administration and consulting can also apply]
Experience with Data Warehouse design, ETL (Extraction, Transformation & Load), architecting efficient software designs for DW platform.
Experience implementing operational best practices such as alerting, monitoring, and metadata management.
Strong understanding with various enterprise security practices and solutions such as LDAP and/or Kerberos
Experience using configuration management tools such as Ansible, Puppet or Chef
Familiarity with scripting tools such as bash shell scripts, Python and/or Perl
Experience with Apache NiFi is desired
Significant previous work writing to network-based APIs, preferably REST/JSON or XML/SOAP
Understanding of the Java ecosystem and enterprise offerings, including debugging and profiling tools (e.g. jstack, jmap, jconsole), logging and monitoring tools (log4j, JMX)
Ability to understand and translate customer requirements into technical requirements
Excellent verbal and written communications
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
EEO/VEVRAA
Skills Required
- 8+ years IT experience
- 4+ years production experience with Hadoop and/or NiFi or data engineering
- Hands-on experience developing, testing, and implementing low-latency big data pipelines
- Production experience in data engineering, data management, cluster management and/or analytics
- Experience designing queries against HDFS using Apache Hive
- Experience implementing MapReduce and Spark jobs
- Experience setting up multi-node Hadoop clusters
- Systems administration or DevOps experience with open-source operating systems
- Experience with data warehouse design and ETL processes
- Experience implementing operational best practices such as alerting, monitoring, and metadata management
- Strong understanding of enterprise security practices such as LDAP and/or Kerberos
- Experience using configuration management tools such as Ansible, Puppet, or Chef
- Familiarity with scripting such as bash, Python, and/or Perl
- Significant experience writing to network-based APIs (preferably REST/JSON or XML/SOAP)
- Understanding of the Java ecosystem and debugging/profiling tools (jstack, jmap, jconsole), logging and monitoring (log4j, JMX)
- Ability to translate customer requirements into technical requirements and strong verbal/written communication
- Experience with Apache NiFi
Cloudera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cloudera and has not been reviewed or approved by Cloudera.
-
Leave & Time Off Breadth — Time off includes generous PTO and holidays plus recurring company‑wide Unplugged Days that provide regular recharge time. Volunteer time off and flexible scheduling options further expand usable leave.
-
Healthcare Strength — Health coverage spans comprehensive medical, dental, and vision alongside EAP, wellness sessions, and U.S. gym reimbursement. These elements position healthcare as a strong anchor within the package.
-
Strong & Reliable Incentives — Compensation often includes variable incentives and long‑term incentive programs with annual bonuses commonly offered. Sales and other revenue roles show competitive on‑target earnings when goals are met, reinforcing the incentive structure.
Cloudera Insights
What We Do
At Cloudera, we believe that data can make what is impossible today, possible tomorrow. We empower people to transform complex data into clear and actionable insights. Cloudera delivers an enterprise data cloud for any data, anywhere, from the Edge to AI. Powered by the relentless innovation of the open source community,
.png)
