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



recommendations, NLP-based insights, and intelligent automation.
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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.
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n- Approach data engineering with an AI mindset and vice versa, reflecting the evolving and inseparable nature of the two disciplines.
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nDelivery, Reliability & Governance :
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n- Ensure teams deliver high-quality solutions with clear requirements, solid engineering discipline, and predictable delivery.
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n- Implement best practices across CI/CD, DevOps, data quality checks, monitoring, and observability.
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n- Embed data governance, security, privacy, and compliance controls across all data platforms.
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n- Ensure platforms meet enterprise standards for availability, scalability, and resilienc

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