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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.
Leads data engineering work for defense missions, translating stakeholder requirements into scalable Databricks pipelines and data models while guiding engineers and improving pipeline performance, reliability, and integrity.
