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Architect and manage data pipelines and infrastructure for GTM systems, leveraging BigQuery, Clay, ZoomInfo, as well as cloud storage and ETL frameworks.
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Develop, test, and maintain highly available scripts and microservices (Python, JavaScript/Node.js) to orchestrate data acquisition and processing workflows.
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Design and manage a unified GTM data lake, merging raw and enriched datasets into a single source of truth for segmentation, ICP scoring, and territory assignments.
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Incorporate LLM-based enrichment pipelines to intelligently augment account/contact metadata and drive predictive targeting.
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Build and maintain batch & streaming ingestion pipelines for GTM data using Apache Beam, Kafka, or Pub/Sub, with Airflow orchestration.
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Develop semantic layers and star/snowflake schemas for GTM analytics in dbt, ensuring BI tools query from pre-aggregated, materialized datasets.
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Partner closely with RevOps, Enablement, and Sales Leadership to improve seller workflows, define KPIs, and ensure data consistency across tools.
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Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM processes.
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Design and maintain high-cardinality indexing strategies for real-time ICP scoring and territory assignment.