Solutions Architect

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