Enterprise Architect

1 week ago

bangalore, India L&T Technology Services Full time

Primary Responsibilities:Digital Strategy & Roadmap: Define and own the 3-5 year technical strategy and architectural roadmap for the entire Digital Products and Solutions portfolio, ensuring alignment with R&D and business goals.Architecture Governance: Establish and manage the enterprise architecture practice, including standards, patterns, principles, and technology selection (Build vs. Buy). Blueprint Creation: Develop and maintain the foundational enterprise blueprints that demonstrate how all technology towers (Cloud, AI, IoT, Analytics, Security, App Engineering) integrate across the enterprise. Investment Guidance: Provide executive-level consultation on technical investment, risk, and organizational impact for all major digital initiatives and product development. Primary Skills:Experience: 15-20+ years in IT/Technology, with 7+ years in a dedicated Enterprise Architect or CTO-level strategy role. Framework Expertise: Deep practical experience with a formal Enterprise Architecture methodology (TOGAF, Zachman, or similar). Strategic Breadth: Proven ability to define architecture across multiple domains (Business, Data, Application, and Technology). Technical Leadership: Hands-on expertise in defining architecture for Cloud-Native, Data/AI platforms, and complex IoT ecosystems. Communication: Exceptional ability to influence and secure buy-in from C-level executives and bridge the gap between business needs and technical feasibility. Secondary Skills: Enterprise Architecture Certification (e.g., TOGAF Certified, etc). Experience with Financial Modeling (e.g., TCO, ROI) for architectural decisions. Experience in a formal Architecture Review Board (ARB) or similar governance body. Expertise in developing architectures for emerging tech like Digital Twins and Generative AI. Experience mentoring solution architects on architectural standards and principles. Domain Skills- Deep domain expertise in at least one of the following: Automotive/ Industrial Products/ Plant Engineering Understanding of industry-specific digital use cases (e.g., connected vehicles, predictive maintenance, digital manufacturing).

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