At Data Semantics, we’re looking for a passionate and motivated Senior Lead / Associate Architect – Azure Data Engineering to join our growing team. In this role, you will work closely with cross-functional teams to design and implement scalable data solutions on Microsoft Azure and drive end-to-end data platform initiatives.
We are looking for someone who is technically strong, collaborative, and excited to work in a fast-paced environment. This role offers opportunities to work on enterprise-scale data platforms, provide architectural guidance, and contribute to impactful projects.
What We’re Looking For
We’d love to hear from candidates who have:
Key Responsibilities
Desired Experience
About Data Semantics
Founded in 2012, Data Semantics is an AI-first technology company helping enterprises transform business operations through AI agents, intelligent automation, advanced analytics, and data-driven innovation. We design and deliver intelligent solutions that enable organizations to make smarter decisions, automate complex processes, and accelerate business outcomes.
With a team of 400+ professionals and a growing global presence across India, the UAE, the US, and Europe, we partner with organizations across Manufacturing, BFSI, Automotive, Real Estate, Hospitality, and other industries to build scalable, future-ready digital ecosystems.
Our expertise spans AI Agents, Generative AI, Data Engineering, Analytics, Enterprise Applications, Automation, and Digital Transformation. Through a combination of innovative products and consulting services, we help businesses unlock the full value of their data and create measurable impact at scale.
Recognized among the Top 20 Analytics Companies by Silicon India and Top 20 BI Companies by CIO Review India, Data Semantics continues to drive innovation with a strong focus on AI-led transformation.
At Data Semantics, innovation, collaboration, and continuous learning are at the heart of our culture. We offer professionals the opportunity to work on cutting-edge technologies, solve meaningful business challenges, and build solutions that shape the future of intelligent enterprises.



