Senior Solution Architect @ Hitachi

Responsibilities:

Research and Develop Innovative Use Cases, Solutions and Architectural Blueprints in support of Hitachi s cross-industry business needs like Energy, Industry, Mobility, Smart Life, and Information Technology. Design, Implement and Demonstrate proof-of-Concept and working proto-types for Hitachi and its clients. Provide RD support to Hitachi business units and group companies to productize research prototypes.

Explore emerging tools, techniques, and technologies, and work with academia for cutting-edge solutions. Collaborate with cross-functional teams and eco-system partners for mutual business benefit. Generate eminence via patents, publications, thought leadership, invited speakerships and conspicuous presence in forums of repute. Add value to self through continuous learning and knowledge acquisition. Give back learnings to colleagues and communities. Mentor colleagues for growth and success.

Mandatory Requirements:

• Academic Qualification: Bachelor s degree with STEM background (e.g., Science, Technology, Engineering and Management).

• Solution Architecture: Deep Experience in Design and Development of Enterprise-class information technology systems (e.g., Design Thinking, Use Case Development, Model Driven Development, Agile Methodology, end-to-end System Design and Decomposition).

• Probabilistic Systems : Clear concept of systems that embed Machine Learning and Artificial Intelligence.

• Technology Hands-on: Proven track record in at least one of following 3 technology groups

• Front-end, client-end experience: User Interface Development (JavaScript, AJAX, Angular, React, D3); Human Computer Interface design

• Server-side Engineering: Object-Oriented Programming, Micro-Services, Springboot, REST APIs, Design Patterns, Data Access Frameworks, proficiency in Java/ C++/Python

• Data Engineering and Persistence (in any one of the below areas) : Design and Development of Relational Databases ; Big Data Systems (e.g., Data Lakes, Hadoop, Hive); In-Memory systems (SAP-HANA); Graph databases (e.g., Neo4J, Casandra); Data Ingestion and ETL

• Cloud: Experience in design and deployment of IT solutions on Cloud (e.g., Dockerization, Containerization)

• Communication : Ability to articulate key messages concisely and precisely

• Collaboration: Excellent interpersonal and teaming skills

Additional Preference:

• Advanced Qualification: PhD in any Quantitative Discipline

• Eminence: Patents, publications, thought leadership, invited speakership and conspicuous presence in refereed platforms or forums of repute.