Principal Digital Architect leading strategic architecture for Manufacturing and Supply Digital Platform using NVIDIA technologies. Drive digital transformation through system integration and data-driven decision making.
Responsibilities
Provide strategic leadership for the overall architecture of the Manufacturing and Supply Digital Platform
Design platform capabilities that anticipate evolving business requirements and use cases
Collaborate with peer architects and Enterprise Capability Owners to deliver diverse use cases thru applications, analytics, agents, and business intelligence
Develop an enterprise-wide data architecture, creating reusable data components that can be assembled into datasets for business applications, analytics, business intelligence, agents, and digital twin solutions
Contribute to system integration, data-driven decision making, automation & optimization, and enhanced collaboration
Requirements
Extensive knowledge of technologies and methods to design processing mechanisms and roadmaps to execute business application systems
Extensive knowledge of processes, techniques and factors that affect data architecture
Extensive knowledge of techniques and tools that promote effective analysis
Extensive understanding of effective communication concepts, tools and techniques
Extensive knowledge of tools, methods, and techniques of requirements analysis
Progressive career in software engineering and architecture (typically 12 years+)
Strong demonstrable experience delivering product and/or enterprise architecture for enterprise-scale solutions in public cloud and hybrid ecosystems
In-depth understanding and experience in two or more of the following: massive real-time event and message processing, data lakes, Big Data transformations and analytics, complex e-commerce applications, IoT edge and cloud data processing, SQL and NoSQL data modeling
Strong understanding of Agile SDLC implementation in public cloud ecosystem
Strong hands-on development experience in a public cloud environment
Familiarity with ML and data analytics
Understanding of enterprise data integration and analytical platforms
Excellent communication skills and able to deal with sensitive issues, mentor and coach and/or persuade others on new technologies
Experience in multiple business processes or organizations and experience in multiple IT disciplines is also beneficial.
Experience in manufacturing, supply chain, transportation domains a plus.
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