PwC Acceleration Centers
Location
Bangalore | India
Job description
Job Requirements and Preferences :
Basic Qualifications : Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 8 year(s) Preferred Qualifications : Degree Preferred: Master Degree Preferred Fields of Study: Software Engineering, Computer and Information Science, Data Processing/Analytics/Science Certification(s) Preferred: TOGAF Certification Additional Education Requirements: Minimum degree: Bachelor's degree Other related fields of study with relevant experience may be considered Preferred Knowledge/Skills: Demonstrates thought leader-level knowledge with, and/or a proven record of success directing efforts in highly technical and analytical technologies, leveraging broad specialization in making architectural design recommendations, including the following areas: ● Understanding architectural design and data platform delivery in technologies that include, but are not limited to cloud, ETL, data storage, data modeling, APIs/microservices, automation, continuous integration/continuous deployment; ● Showcasing work experience as a Data Architect or similar role; ● Providing data architecture guidance around complex efforts within established Software Development Lifecycles and methodologies including agile, scrum, iterative and waterfall, and also using blended resources; ● Showcasing technical understanding that spans multiple platforms and portfolio of applications with demonstrated knowledge of the business strategic priorities in order to resolve complex problems; ● Understanding Master Data Management design principles; ● Utilizing IT business processes and frameworks including, but not limited to, Identity Access Management (IdAM), Enterprise Application Integration, Data Warehousing, Business Intelligence, Reporting, Mobility, Master Data Management, and Search; ● Understanding of database structure principles; ● Assessing and analyzing system requirements; ● Understanding Data Integration Tools (SSIS, Informatica, API Management, Enterprise Service Bus (preferably Kafka), and Rules Engine (preferably BizTalk); ● Implementing Query analysis and performance optimization; ● Demonstrating data mining and segmentation techniques; ● Exhibiting knowledge in both SQL and Big Data technologies; ● Working at the Enterprise level developing business data solutions; ● Understanding Data Federation/Virtualization technologies, such as PowerBI, Tableau, D3.js, and implementing Cloud based solutions; ● Showcasing analytical skills and a problem-solving attitude; ● Demonstrating virtual leadership and motivational skills; ● Engaging with business stakeholders across PwC territories to understand territory data strategies, approaches and requirements; ● Recommending and participating in activities related to the design, development and maintenance of the Enterprise Data Architecture; ● Developing strategies and design patterns to solve complex technical and data challenges; ● Leading data architecture review sessions and providing recommendation to the team on architecture work; ● Establishing guidelines around application data architecture design; ● Training, coaching, and supervising staff and increasing staff knowledge/skills to support future growth, to include technical acumen; ● Developing internal relationships and PwC brand; ● Leveraging business acumen to interpret and translate goals into technical specifications, while delivering thought-leadership of specific technologies, and driving technology change; and, ● Leveraging business knowledge and interpersonal skills to build, maintain, and influence relationships with senior leaders throughout the business and IT.Job tags
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