Principal Product AI Data Engineer & Architect

Clarivate Analytics — IND - Bangalore (DRG)

We are hiring a Principal Product AI Data Engineer & Architect to own the design and evolution of the data foundations that power our next-generation AI products across LS&H. In this role, you will architect enterprise-scale, AI-ready data platforms that underpin drug discovery, Real-World Evidence (RWE), patient journey intelligence, market access analytics, and Generative AI / Agentic AI capabilities. Clarivate is a global leader in connecting people and organizations to intelligence they can trust to transform their world. Our Life Sciences & Healthcare (LS&H) division powers pharmaceutical research, real-world evidence, clinical insights, and healthcare innovation for the world's leading life sciences organizations. We are on a mission to accelerate scientific discovery and improve patient outcomes through AI-driven data platforms and intelligent products. You will partner closely with Product Managers, Software Engineers, Data Scientists, and Platform leaders across the US, Canada, and India to shape trusted, scalable, and forward-looking data solutions that directly influence product direction and AI readiness. This is a hands-on architect role for a senior technologist who thrives at the intersection of data engineering, AI/ML enablement, and product-driven outcomes . About You – experience, education, skills, and accomplishments Bachelor's Degree or equivalent in Computer Science, Data Engineering, Data Science, or related field . Minimum 10+ years of relevant experience in enterprise data engineering, data architecture, or AI data platforms, including significant hands-on architectural leadership. Deep expertise in Enterprise Data Architecture, Dimensional Data Modeling, and modern Data Pipeline Design (ETL/ELT) . Strong hands-on experience with Databricks and modern Lakehouse architectures (Delta Lake, Unity Catalog, or equivalents). Proven experience designing Cloud Data Platforms at scale (AWS, Azure, or GCP) and scalable analytics ecosystems. Strong

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