Job Description

Data 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.

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Design and optimize cloud-based big data platforms, including ingestion, transformation, storage, and consumption layers.

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Lead the engineering of ETL/ELT frameworks, streaming pipelines, and batch processing solutions.

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Conduct enterprise-wide assessments of data stores and data flows to identify bottlenecks, friction points, and modernization opportunities.

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Own data modeling standards to ensure alignment with business objectives, performance, and accessibility.

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AI 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.

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Collaborate with Data Science teams to operationalize models, including feature engineering pipelines, inference data flows, and model monitoring data.

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Support AI-driven use cases such as predictive analytics, recommendations, NLP-based insights, and intelligent automation.

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Stay current with market trends, embed creative 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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Approach data engineering with an AI mindset and vice versa, reflecting the evolving and inseparable nature of the two disciplines.

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Delivery, Reliability & Governance :

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Ensure teams deliver high-quality solutions with explicit requirements, solid engineering discipline, and predictable delivery.

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Implement best practices across CI/CD, DevOps, data quality checks, monitoring, and observability.

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Embed data governance, security, privacy, and compliance controls across all data platforms.

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Ensure platforms meet enterprise standards for avail

📌 Principal Engineer Data And Ai Bengaluru
🏢 Infosys
📍 Bengaluru