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Build and operate reliable infrastructure data products—including pipelines, models, and services—to support usage and cost insights, planning, attribution, and budgets while shaping technical direction across teams.
Set technical direction for large-scale compliance data and control systems, shaping roadmaps and architecture while improving detection effectiveness, auditability, reliability, and operational performance.
Leads customer migration engagements by setting technical direction and architecture, building Snowflake data solutions, and guiding teams through modernization, optimization, and AI initiatives.
Lead the technical direction and hands-on evolution of a large-scale data platform, solving complex Spark, Iceberg, Kafka, and StarRocks challenges while mentoring engineers and improving reliability.
Lead client data engineering engagements by designing AI-ready data platforms, production pipelines, and semantic layers that enable analytics, natural-language querying, and AI-powered workflows.
