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CloudLabs Inc in India is seeking a highly experienced Data Architect with strong data modeling and enterprise data strategy skills to lead architecture across cloud, analytics, AI, and reporting.
You will translate business goals into scalable data ecosystems, govern data standards, and drive modernization from on-premise to cloud, while collaborating with CXOs.
This remote-friendly role requires 8+ years of experience and a proven track record delivering data lakes, warehouses, and lakehouses.
CloudLabs Inc was founded in 2014 with the mission to provide exceptional IT & Business consulting services at a competitive price, to help clients realize the best value from their investments.
Within a short span, CloudLabs evolved from pure-play consulting into a transformative partner for Business Acceleration Advisory, Transformative Application Development & Managed Services - enabling digital transformations, M&A transitions, Automation & Process-driven optimizations & complex Integration initiatives for enterprises across the globe. As a Strategic Planning & Implementation Partner for global companies, CloudLabs has seen a 200% uptake in winning high-value, high-impact and high-risk projects that are critical for the business.
With offices in the US, Canada, & India and with the team of 250+ experienced specialists, CloudLabs is now at an inflection point and ready for its next curve of progress.
cloudlabsit.com
CloudLabs Inc
info@cloudlabsit.com
Data & Analytics
8+ years
India - Remote
We are seeking a highly experienced Data Architect with strong Data Modeling expertise who has successfully delivered architecture solutions in enterprise-scale projects, not just performed design activities. The ideal candidate must have a proven track record of defining enterprise data strategies, designing scalable data platforms, implementing modern data architectures, governing data standards, and driving architecture decisions across multiple business and technology teams.
This role requires a hands-on architect capable of translating business goals into robust, scalable, secure, and future-ready data ecosystems spanning cloud, analytics, AI, reporting, and operational systems.