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 d efining 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 cooperative, 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 (West Bengal)
🏢 Capgemini
📍 West Bengal