Data Engineer – Revenue Analytics

About CoralogixCoralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. We are a high-growth, 100M+ ARR business where data quality is not an aspiration — it is a competitive requirement. This role exists because every AI workflow, every forecast model, and every pipeline intelligence system this team builds is only as good as the data underneath it.The RoleThis is a new role and one of the most strategically important on the team. You will own the revenue data layer — the Snowflake-based foundation that every automation, AI workflow, and analytics system in our GTM stack depends on. You will build and maintain the pipelines that move data from Salesforce, Gong, Marketo, and other GTM sources into a clean, governed, and queryable form.You are the quality gate. When an AI workflow produces a wrong answer, it is often a data problem upstream. Your job is to make sure that does not happen — by building pipelines that are reliable, schemas that are stable, and data contracts that every system can trust.Every workflow this team builds is only as good as the data underneath it. This role is the foundation everything else is built on.What You Will OwnSnowflake Data FoundationDesign, build, and maintain the Snowflake data warehouse that serves as the single source of truth for all GTM analytics and automationDefine and enforce schema standards, naming conventions, and data governance policies across revenue dataBuild and maintain dbt models (or equivalent) that transform raw GTM source data into clean, analytics-ready tablesMonitor pipeline health and proactively identify and resolve data quality issues before they surface in downstream workflowsMaintain data documentation and data dictionaries for all GTM data assetsPipeline EngineeringBuild and maintain data pipelines that ingest data from Salesforce, Gong, Marketo, Intercom, and other GTM platforms into SnowflakeDesign reliable, observable pipeline architectures with appropriate alerting and failure handlingImplement change data capture (CDC) and incremental loading patterns to keep revenue data currentPartner with the GTM Engineers to ensure every automation workflow pulling from Snowflake has the data it needs in the right shapeAnalytics EnablementServe as the data contract owner between GTM source systems and the analytics and AI layersSupport the build of revenue analytics in Sigma, Tableau, or equivalent BI toolingEnable self-serve querying by GTM leaders through well-designed, documented data modelsBuild forecasting support data models that feed weekly pipeline and forecast intelligence workflows