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Job ID: JR0007176
Job Category: Information Technology
Primary Location: Bangalore, KA IN
Other Locations:
Job Type: Experienced Hire

Enterprise Architect

Job Description
The Enterprise Architect will be responsible for the creation, maintenance and management of high performing and efficient Enterprise BI, Big Data and Analytics Architecture. The Architect will provide strategic and transformation guidance during the design development process to ensure bridging of gap between business problems faced by customers and benefits available from technology solutions and services. Partnering closely with stakeholders and customers, the Enterprise Architect will be responsible for: Driving & owning architecture design discussions with internal stakeholders including design blueprint and technology recommendations Utilizing industry trends and benchmarks to continuously evolve Enterprise Architecture in SMAC space. Creating and driving implementation, transition and adoption plans for new technologies. Transfer of knowledge and facilitate handoff to architects and delivery teams Actively participates in defining the short and long term integration architecture strategy for key business segments, focusing on cross project needs and future business direction.


MS and 8+ years of relevant experience in Enterprise Architecture in a consulting or industry practitioner role. Experience and deep understanding of Big Data and Analytical platforms. Experience in BI reporting and data visualization. Solid understanding of Data Acquisition to Data Consumption Business Intelligence Pipeline. Solid understanding of cloud platforms like AWS, Microsoft Azure etc. Good understanding of conversational systems, chatbots and AI. Experience working with large scape scale MPP platforms such as Teradata, Hadoop and SAP HANA. Familiarity/ Experience with SQL, Python, Scala, Java coding. Strategy to Action - demonstrated ability to successfully lead and execute to a strategy /committed roadmap Inclusionary leader with strong collaboration skills. Good understanding of DevOps and Agile Development methodologies. Excellent oral/written communication and presentation skills at all levels of the organizationDesired Skills Knowledge in Machine Learning/Data Mining Algorithms : Statistical Analysis/Inference, Clustering, Regression, Classification, Probabilistic Models , Deep Learning. Text Analytics. Knowledge in Machine Learning: frameworks such as Apache Spark MLlib, Apache Mahout, Weka, Mallet. Knowledge in Deep Learning: framework such as TensorFlow, Theano , keras. Knowledge in Natural Language Processing: frameworks such as UIMA, Stanford NLP, OpenNLP.

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