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