Data Engineering & Architecture : - Serve as a hands-on technical leader in the design of scalable data pipelines, data stores, and information flows across the enterprise. - Design and optimize cloud-based big data platforms, including ingestion, transformation, storage, and consumption layers. - Lead the engineering of ETL/ELT frameworks, streaming pipelines, and batch processing solutions. - Conduct enterprise-wide assessments of data stores and data flows to identify bottlenecks, friction points, and modernization opportunities. - Own data modeling standards to ensure alignment with business objectives, performance, and accessibility. AI Enablement & Advanced Analytics : - Enable and support AI/ML and GenAI initiatives by building reliable, high-quality, and well-governed data pipelines. - Collaborate with Data Science teams to operationalize models, including feature engineering pipelines, inference data flows, and model monitoring data. - Support AI-driven use cases such as predictive analytics, recommendations, NLP-based insights, and intelligent automation.



- Stay current with market trends, embed innovative practices into strategy, and drive the organization forward with an AI-first approach ensuring AI initiatives move beyond proof-of-concept to enterprise-scale solutions. - Approach data engineering with an AI mindset and vice versa, reflecting the evolving and inseparable nature of the two disciplines. Delivery, Reliability & Governance : - Ensure teams deliver high-quality solutions with clear requirements, robust engineering discipline, and predictable delivery. - Implement best practices across CI/CD, DevOps, data quality checks, monitoring, and observability. - Embed data governance, security, privacy, and compliance controls across all data platforms. - Ensure platforms meet enterprise standards for availability, scalability, and resiliency. - Lead an enabling team responsible for building foundational platforms, tools, and guardrails, supporting mu

📌 Principal Engineer- Data And AI (Karnataka)
🏢 Infosys
📍 Karnataka