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Job Description
Structured overview of role & requirementsAbout This Role
Own and scale Big Data (Spark, Dataproc), Analytics Data Services, and Data Warehousing (Big Query) platforms for Walmart's data lake and analytics.
Lead platform strategy, long-term vision, and execution for Big Data processing including operational metrics around availability, cost, and security.
Drive engineering excellence, GenAI integration, platform consolidation, team growth, and project management for large-scale distributed data systems.
Minimum Requirements
Bachelor's degree in CS, CE, CIS, Software Engineering or related with 8+ years in software engineering, or 10+ years experience with 5+ years supervisory experience.
Experience with large-scale Big Data platforms (Spark, Hadoop, Iceberg, Hudi, Hive) and data warehousing services (Big Query, Trino) at scale.
Proven leadership managing engineering teams responsible for data infrastructure and platform reliability.
Work Experience Required: 8+ years software engineering or 10+ years with 5+ years supervisory experience.
Ideal Candidate Profile
Experienced in operational management of exabyte-scale data lakes and distributed data platforms across cloud environments (Google, Azure, Private clouds).
Demonstrated ability to create and drive multi-year technical strategies in Big Data and AI-driven data platforms with cost and performance optimizations.
Proven leader capable of managing complex programs, mentoring teams, and delivering platform consolidation and innovation in large, distributed tech organizations.