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.)