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.)

Enterprise Solution Architect