Solution Architecture in Big Data, Advanced Analytics, and Visualization domains
Build 'Reference Architecture' for Data / Big Data technology domain
Build a strong architecture and consulting team around Data and Analytics offerings to enable farming of accounts
Define and own end2end Architecture from definition phase to go-live phase for large and complex engagements
Ensure clarity on NFR and address these requirements during Architecture definition phase
Build new reusable assets in the form of frameworks, solution accelerators, templates, checklists, assessment toolkits, TCO/ROI toolkits, etc.
Strengthen the existing global partnerships & establish partnership with other relevant technology partners
Interact with analysts and strengthen alliances through stronger joint go-to-market initiatives
NoSQL database - Cassandra | HBase | Mongo DB | Graph DB (Neo4j) etc.,
Stream processing engines - Spark | Storm | Flink | Samza
Analytical processing on Big Data using Spark | R
Appliances - Teradata, Netezza, Greenplum, Aster Data, Vertica
Analytical insights Visualization using open source and commercial products like Hue | Tableau | D3JS
At least 9+ years of experience in Java and 2+ years' experience in Scala
Hands-on administration, configuration management, monitoring, performance tuning of Hadoop, Distributed platforms, and JVM based systems
At least 2+ years of cloud deployment experience - AWS | Azure | Google Cloud Platform
At least 2+ product deployments of big data technologies - Business Data Lake, NoSQL databases etc.
Excellent sales/pre-sales skills and good track record in winning large deals
Strong people management skills - Ability to build high performing teams, mentoring team members, building a strong second line, ability to attract & retain talent
Able to analyze market need and create new offerings, solution accelerators & frameworks
Seen as a thought-leader in the industry in the areas of Data / Big Data, Analytics - prescriptive and predictive, and insights visualization for effective story telling.
Experience in building strong partnerships with leaders in the Big Data technologies providers like Cloudera, MapR, Cassandra, Mongo DB, etc.
Able to deal with diverse set of stakeholders and facilitate workshops
Proficient in articulation, communication and presentation
Ability to deal with ambiguity - Able to come out with solution by bringing in clarity & with quality assumptions.
High learning agility - ability to adapt and deliver results in highly unstructured situations