Sr. Solutions Architect

Experience: 10+ years Location: BKC, Mumbai Responsibilities: 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 practices design patterns for distributed data pipelines and analytical computing architectures Plan and deliver presentations and workshops to customer/internal stakeholders Write and produce technical documentation, blogs, and knowledge base articles Skills and Experience: The candidate must be having 10+ years of experience 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 confi guration 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% Show more Show less