Cloud Architect - J2EE Technology Stack (10-16 Yrs) Pune (Systems/Product Software)

Description : - As an Architect, his/her charter will be to build an enterprise data lake / repository to minimize data redundancies, provide a single view of the employee and his transactions - Strong understanding of the end to end J2EE technology stacks - Cloud Foundry experience necessary - SQL & NoSQL expertise, Exposure to HANA and SAP DW will be a plus.
-The successful candidate will be expected to enhance the consistency, timeliness, quality, security and delivery of Data across the enterprise and streamline data flows from a complex, heterogeneous data architecture.
-In this role, s/he will aid in the analysis of data and analytics requirements and solutions - Should have exposure to Agile methodology Roles and Responsibilities : - Develop and communicate Digital Application Architecture strategy within APIs, Real-Time Analytics, Digital Data Strategy and Application development - Collaborate closely with the head of architecture, architects of other domains to align digital architecture vision with the rest of the group - Provides architecture and technology leadership across a range of digital technologies - Drive and define an overarching data architecture vision and strategy to maximize the optimization and leverage of enterprise data assets - Map data sources, document interfaces and data movement so - data at rest- and - data in motion- can be managed properly - Design data flows and canonical data views for optimization of customer and colleague experience in Engagement System as well as making operational data available for realization of cost efficiencies Pedigree : - Experience with distributed data management and analytics in cloud and hybrid environments; understanding of a variety of data access and analytics approaches such as micro services and event-based architectures - Ability to assess rapidly changing technologies and apply them to achieving business outcomes - Data modeling and information classification expertise at the enterprise level - Understanding of meta data models, taxonomies and ontologies (Simple / Multiple / Hybrid); as well as the challenges of applying structured data modeling techniques to less structured data - Ability to interact and exert influence with all business and IT areas and leadership levels; especially Application Development and Infrastructure teams

Required Skills : English