compensation: Total Base Pay is Competitive type d'emploi: plein temps télétravail autorisé
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The Solutions Architect is a leading member of our Professional Services team. Cloudera Solutions Architects function as technical leads and trusted advisors, you will work on some of the most exciting distributed data business problems at private and public sector organisations. Engage from early stage conversations with new customer prospects through to production implementations at large multi-cluster customers. You will lead, evangelize and collaboratively work with our customers, advising them on the rollout of reference enterprise data architectures, identify and drive development of use cases and analyze as well as recommend solutions to distributed computing challenges. Form part of a team that will foster long-standing engagements with our customers and build trusted relationships.
You will…
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 practice design patterns for distributed data pipelines and analytical computing architecture
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 knowledge base articles
You have…
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%
You might also have…
Related industry experience & relevant architecture certifications
Experience implementing machine learning algorithms using R or Tensorflow and deep understanding of statistical methods
External publications in a relevant technologies
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