Should have good experience in building and managing Enterprise scale applications engineered and delivered as SaaS (Software as a Service) or PaaS (Platform As a Service) ideally on Microservices architecture or SOA design patterns.
Demonstrate knowledge of cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability) is a plus.
Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers. AWS specific experience a bonus
Ability to properly validate solution metrics, do independent sizing, review and optimize solutions from technical aspects
Must be hands on in data modeling and data architecture at low level
Must have worked hands on with more than one ETL and BI tools and databases
Must be able to differentiate and justify various approaches of building and maintaining a DWH
Ability to independently craft a solution for large multi technology/multi service Programs
Ability to interact with various internal and external stakeholders and derive an enterprise robust architecture, meeting requirements
Must have worked on at least one Data quality and data mining tools
Must have good knowledge of any scripting tools like Unix / Perl
Work Closely with Sr.Technical Program Managers, DWH Architects, BI Architect and Solution architects/analysts to understand the data models for various business lines and try to get to an enterprise view for scalable data modelling supporting various business lines
Understand business goals and develop a strategy aligned to the goals that capitalizes on technology insights to improve the value of analytical data, improve effectiveness of information stewardship, and streamline the flow of data in the organization