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Lead hands-on delivery of Palantir Foundry data and AI solutions, building pipelines, ontology layers, and LLM-powered workflows while guiding engineers and advising client stakeholders.
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.
Lead data engineering work to prepare Snowflake datasets for a Dataiku proof of concept, building reliable pipelines and data models while ensuring data quality for downstream analytical workflows.
