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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.
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.
Own and advance data platform initiatives spanning lake architecture, batch and streaming pipelines, event governance, data quality, privacy, and AI-assisted engineering standards.
As a Lead Data Engineer, you will design and implement AI-optimized data platforms, becoming a trusted advisor to clients while solving complex data engineering challenges.
Defines enterprise data-platform architecture and engineering standards, leads complex system design and technical decisions, and builds reliable data products while mentoring engineers across teams.
