Job DescriptionData Engineering & Architecture :
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- Serve as a hands-on technical leader in the design of scalable data pipelines, data stores, and information flows across the enterprise. N
- Design and optimize cloud-based big data platforms, including ingestion, transformation, storage, and consumption layers. N
- Lead the engineering ofETL/ELT frameworks, streaming pipelines, and batch processing solutions. N
- Conduct enterprise-wideassessments of data stores and data flows to identify bottlenecks, friction points, and modernization opportunities. N
- Own data modeling standards to ensure alignment with business objectives, performance, and accessibility. N

nAI Enablement & Advanced Analytics :
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- Enable and support AI/ML and GenAI initiatives by building reliable, high-quality, and well-governed data pipelines. N
- Collaborate with Data Science teams to operationalize models, including feature engineering pipelines, inference data flows, and model monitoring data. N
- Support AI-driven use cases such as predictive analytics, recommendations,



NLP-based insights, and intelligent automation. N
- 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. N
- Approach data engineering with an AI mindset and vice versa, reflecting the evolving and inseparable nature of the two disciplines. N

nDelivery, Reliability & Governance :
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- Ensure teams deliver high-quality solutions with explicit requirements, strong engineering discipline, and predictable delivery. N
- Implement best practices across CI/CD, DevOps, data quality checks, monitoring, and observability. N
- Embed data governance, security, privacy, and compliance controls across all data platforms. N
- Ensure platforms meet enterprise standards for availability, scalability, and resiliency. N
- Lead an enabling te

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