(ind) Principal, Data Engineer

Walmart Walmart · Retail · Bangalore, KA, India

Principal Data Engineer role focused on building and evolving Walmart's enterprise data platform for Global Marketplace. The role involves developing scalable data platforms that support billions of events daily, transforming data for AI-native workloads, agentic AI, LLMs, and multi-agent workflows. Key responsibilities include modernizing data lakes and pipelines into agent-aware platforms, influencing technical direction, and enabling data scientists and product partners. The role operates at the intersection of retail scale, near real-time intelligence, and Agentic AI.

What you'd actually do

  1. Transform and evolve Walmart’s core data platform using Agentic AI across batch, streaming, and hybrid systems to support data powered Global Marketplace applications, analytics, operational intelligence, and AI-native workloads.
  2. Develop data platforms that scale to billions of events per day, supporting both near real-time retail decisions and deep analytical insights.
  3. Develop agent-ready data, ensuring data products are discoverable, semantically rich, and optimized for LLMs, copilots, and multi-agent workflows.
  4. Influence multiple teams and organizations through technical leadership and clear architectural direction—without direct authority.
  5. Develop fault-tolerant, resilient systems that support mission-critical retail and marketplace operations.

Skills

Required

  • Data Engineering
  • Distributed Systems
  • Data Modeling
  • API Development
  • ETL/ELT Pipeline Development
  • Cloud Data Platforms (e.g., Azure, GCP, AWS)
  • Big Data Technologies (e.g., Spark, Hadoop)
  • Streaming Technologies (e.g., Kafka, Flink)
  • Agentic AI Concepts
  • LLM Optimization
  • Technical Leadership
  • Mentoring

Nice to have

  • Retail Data Experience
  • Real-time Analytics
  • Data Governance
  • Data Cataloging

What the JD emphasized

  • billions of events per day
  • agent-ready data
  • multi-agent workflows
  • mission-critical retail and marketplace operations
  • composable, event-driven, and agent-aware platforms
  • AI Agents

Other signals

  • Develop data platforms that scale to billions of events per day
  • Develop agent-ready data, ensuring data products are discoverable, semantically rich, and optimized for LLMs, copilots, and multi-agent workflows
  • Influence multiple teams and organizations through technical leadership and clear architectural direction—without direct authority
  • Lead modernization of legacy data lakes and pipelines into composable, event-driven, and agent-aware platforms
  • Adopt and build AI Agents for discovery, development of data assets