Senior Analytics Engineer Dbt Databricks
Level Access
Build trusted commercial analytics at Level Access as a Senior Analytics Engineer specializing in dbt, Databricks, and certified metrics.You will own the analytics layer supporting reporting, business decisions, and AI experiences. The focus begins with go-to-market and revenue data, including pipeline, bookings, and subscriptions. You will partner with senior leaders, data champions, and the Senior Data Engineer.Key Responsibilities:
Design and maintain dbt models on DatabricksDefine certified go-to-market and revenue metricsMaintain semantic definitions, documentation, and model lineageCurate AI-ready catalogs, descriptions, and verified queriesApply contracts, tests, freshness, and anomaly checksRequirements:
Five-plus years building production analytics or data modelsAt least three years using dbt in productionStrong SQL and Databricks or Delta experience preferredHands-on Salesforce data model knowledgeExperience defining SaaS revenue metrics and quality controlsApply analytics engineering, business modeling, and metric governance to make Level Access commercial data consistently usable.
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Design and maintain dbt models on DatabricksDefine certified go-to-market and revenue metricsMaintain semantic definitions, documentation, and model lineageCurate AI-ready catalogs, descriptions, and verified queriesApply contracts, tests, freshness, and anomaly checksRequirements:
Five-plus years building production analytics or data modelsAt least three years using dbt in productionStrong SQL and Databricks or Delta experience preferredHands-on Salesforce data model knowledgeExperience defining SaaS revenue metrics and quality controlsApply analytics engineering, business modeling, and metric governance to make Level Access commercial data consistently usable.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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