Enterprise Solution Architect

Job Description

• 15+ years of software development experience building large scale distributed data processing & Warehousing systems/applications
• Experience of at least 3 years in architecting Cloud (in any cloud) + Big Data or MPP solutions at enterprise scale with at least two end to end implementations
• Proven Enterprise/Solution/Delivery Architecture Experience in defining a modular architecture that can respond to current and future business requirements, business systems, and business processes evolving in the I & D areas
• Proven experience in pre-sales , leading large scale data & AI solutions ( build and run) end to end , resulting into wins.
• Experienced in at least one of industry standard architecture frameworks like TOGAF/IAF/NIST Big Data/Zachman/DODAF/FEAF/IndEA
• Proficiency in GenAI and Agentic AI, experience in GTM
• Experience building solutions that enable Large Language Models (LLMs) to securely interact with external tools, APIs, and enterprise systems (ERP, HCM, ServiceNow) utilizing the Model Context Protocol (MCP)
• Set technology direction, vision, and strategy to enable new I & D technology adoption
• Lead efforts to define cloud/data/AI future state architectures and roadmaps including architecture standards, guidelines, and industry best practices
• Demonstrate a leadership role in ensuring that new and existing systems are aligned to architectural guidelines
• Collaborate with architects in BUs to ensure comprehensive and cohesive working solutions are developed across disciplines with Economic and technical value proposition
• Strong understanding & experience of popular modern age MPPs such as Databricks, Cloud data warehouses like Snowflake, Redshift
• Knowledge of Enterprise Security, Data Management and Governance
• Ability to articulate pros & cons of “TO-BE” design/architecture decisions across a wide spectrum of factors
• Excellent knowledge of standard and big data/cloud native DWHs specific design patterns and paradigms
• Work closely with development team to size, scale and tune existing and new architecture.
• Ability to engage in senior-level technology discussions.
• The ideal candidate is pro-active, shows an ability to see the big picture and can prioritize the right work items in order to optimize the overall team output.
• Should have worked in agile environments and good to have exposure to DevOps/DataOps/MLOps/AIOps
• Excellent leadership skills, with the ability to generate stakeholder buy-in and lead through influence at a senior management level
• Strong verbal and written communication skills Ability to work in collaborative, cross functional, and multi-cultural teams
• Architecture Certifications will be added advantage

• Should be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them
• Should be able to clearly articulate pros and cons of various technologies and platforms
• Should be able to document use cases, solutions and recommendations
• Good to have good history of thought leadership in the industry (social presence/persona, speeches, book critic/books, papers, conference presentations, academic lectures/faculty, etc.)