Spécialiste IA agentique chez Maplr, développant agents, pipelines LLM et systèmes RAG pour les télécommunications et médias québécois. Travail hybride à Montréal.
About the role
- Senior Data Engineer building certified GTM data pipelines for ZoomInfo, an AI-powered B2B sales and marketing intelligence platform. Enabling strategy, forecasting, and AI-agent analytics.
Responsibilities
- Build and own end-to-end pipelines in Python and Airflow ingesting Salesforce, marketing, advertising, conversation intelligence, product usage, billing, and ZoomInfo data into Snowflake
- Bring plan, quota, headcount, and cost data from Finance, RevOps, and HR systems into the warehouse
- Establish certified metrics in the semantic layer with named business-owner approval
- Implement tests, monitoring, documentation, and lineage for data quality and reconciliation to Finance
- Apply row- and column-level access rules to sensitive fields such as compensation and quota
- Run forecasts, territory and capacity models, cohort and retention studies, and impact readouts
- Partner with Corporate Strategy, GTM Strategy, Business Partners, Finance, RevOps, and Data Engineering on definitions and self-serve certified tables
- Own post-launch pipelines, participate in the business-hours on-call rotation, investigate root causes, write postmortems, and maintain runbooks
- Follow and contribute to engineering standards including version control, code review, CI, and documentation
- Help analysts use certified tables and the semantic layer
Requirements
- 5+ years in data or analytics engineering, with demonstrated ownership of production pipelines in a cloud warehouse
- Strong SQL and Python; comfortable writing production-grade code, debugging complex pipelines, and optimizing queries
- Hands-on experience with a cloud data warehouse (Snowflake strongly preferred; BigQuery or equivalent acceptable)
- Solid dbt experience — has built and maintained models in a production dbt project
- Experience with orchestration tools — Airflow and Fivetran required; Dagster or equivalent a plus
- Experience with Databricks and Spark for custom modeling and transformation workloads
- Experience with GTM data in Salesforce or another CRM, including opportunity history, bookings, and renewals
- Ability to work autonomously and scope ambiguous requests with stakeholders
- Strong communication skills for explaining technical tradeoffs to non-technical partners
- Familiarity with PII handling and access controls
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