This role is for one of the Weekday's clients
Min Experience: 9+ years
Location: Remote (India)
JobType: full time
We are looking for an experienced Data & AI Architect to lead the design and evolution of modern cloud-based data and AI platforms that enable advanced analytics, machine learning, and generative AI capabilities. This role is responsible for defining enterprise-scale data architecture, building AI-ready data ecosystems, and ensuring secure, scalable, and compliant data solutions.
The ideal candidate combines deep expertise in cloud data architecture, AI platform design, and modern data engineering with the ability to translate business objectives into practical, future-ready technical solutions. You will collaborate closely with engineering, data science, analytics, and business stakeholders to build architectures that power intelligent decision-making across the organization.
Key ResponsibilitiesEnterprise Data & AI Architecture
Design and evolve enterprise data architecture, including data lakes, data warehouses, data marts, and lakehouse platforms.




Develop AI-ready data assets that support analytical, predictive, and generative AI use cases.
Architect cloud-native data platforms on Microsoft Azure for scalable ingestion, transformation, storage, and analytics.
Establish architectural standards, best practices, and governance for enterprise data platforms.
AI Platform & Solution Design
Design data architectures that enable machine learning, Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI solutions.
Collaborate with data science teams to develop AI-powered decision automation workflows.
Design scalable AI infrastructure supporting vector search, embeddings, semantic retrieval, and LLM-based applications.
Evaluate emerging AI technologies and recommend adoption strategies aligned with business goals.
Cloud Data Engineering
Architect high-performance Azure-based data solutions using services such as Azure Data Lake, Azure Data Factory

📌 Data & AI Architect (India)
🏢 Weekday AI
📍 India