Senior Solutions Architect, Cloudera

• A passion for solving real world problems with cutting edge technology
• Extensive customer facing/consulting experience interacting with large scale distributed data/computing solutions
• A strong business understanding of how Cloudera technologies solve real world business problems
• Appreciation of the commercial business cases that drive customer data platform initiatives
• Experience managing project delivery and leading a technical team
• Strong experience designing, architecting and implementing software solutions in an enterprise Linux environment, including solid foundation in OS / networking fundamentals
• Strong experience with Hadoop or related technologies including deployment & administration
• Excellent communication skills, experience with public speaking and able to present to a wide range of audiences
• Proven knowledge of big data/analytical use cases and best practice approaches to implement solutions to them
• Strong experience with Cloud Platforms (i.e. AWS, Azure, Google Cloud)
• Experience with open source ecosystem programming languages (i.e. Python, Java, Scala, Spark etc.)
• Knowledge of the data management ecosystem including: Concepts of data warehousing, ETL, data integration, etc
• Experience designing frameworks for implementing data transformation and processing solutions on Hadoop or related technologies (i.e. HDFS, HIVE, Impala, HBase, NiFi etc.)
• Strong understanding of authentication (i.e. LDAP, Active Directory, SAML, Kerberos etc.) & authorization configuration for Hadoop based distributed systems
• Deep knowledge of the Data/Big Data business domain
• Familiarity with BI tools and Data Science notebooks such as Cloudera Data Science Workbench, Apache Zeppelin, Jupyter, IBM Watson Studio etc
• Knowledge of scripting tools such as bash shell scripts, Python or Perl
• Familiarity of DevOps methodology & toolsets and automation experience with Chef, Puppet, Ansible or Jenkins
• Ability to travel ~70%
• DV Clearance

Desirable

• Evangelize, motivate and enable our customers on their Enterprise Data Cloud journey
• Participate in the pre and post sales process, helping both the sales, professional services management and product teams to interpret customer use cases
• Use your deep domain, wide technical and business knowledge to assist customers in defining their data strategy, use case success criteria and frameworks to deliver successful implementations
• Design and Implement Enterprise Data Cloud architectures and configurations for customers
• Identify and grow professional services engagements and support subscriptions through the clear demonstration of the value we bring to our customers
• Design, create and recommend standard best practise design patterns for distributed data pipelines and analytical computing architectures
• Plan and deliver presentations and workshops to customer/internal stakeholders
• Mentor junior consultants and architects
• Help define our approach and screen candidates in the technical hiring process
• Write and produce technical documentation, blogs and knowledgebase articles