Lead Analytics Engineer

Experteer Overview In this role you lead the analytics foundation as the senior owner of Obsidian’s data warehouse and DBT-driven analytics. You will own the dbt project, warehouse architecture, and semantic layer that power executive dashboards, GTM workflows, and internal AI agents. You’ll drive AI-enabled development to ship models, workflows, and reporting pipelines at a pace a small team could not achieve alone. Your work shapes mart design, documentation, and data flows from systems of record into business reports, with close collaboration across Product, Sales, Finance, Marketing, and Security. Compensation / Benefits * Own the end-to-end dbt project: mart architecture, modeling conventions, materialization patterns, testing, lineage, and documentation * Design dimensional models serving dashboards and AI agents with rigor * Establish CI/CD for dbt: PR reviews, automated testing, and deployment workflows * Manage data ingestion with Fivetran across GTM, finance, HR, and operations * Design and operate reverse-ETL to move trusted data back to systems of record * Migrate legacy reports to the new BigQuery foundation without disrupting continuity * Apply AI tools in daily workflows and define standards for AI-augmented analytics engineering * Create schemas, documentation, and semantic conventions optimized for downstream AI agents * Build automated workflows on the warehouse for cost aggregation, executive reporting, and CRM data updates * Set technical standards, mentor teammates, and establish scalable conventions Tasks * 8+ years in production analytics or data engineering with hands-on dbt ownership * Strong business fluency in B2B SaaS and understanding of GTM, billing, customer lifecycle workflows (ARR, NRR, churn, CAC, gross margin, pipeline) * Ability to translate finance/RevOps questions into data models, understanding upstream processes * Expert SQL and dimensional modeling with opinions on incremental materialization * Production experience with a cloud data warehouse (BigQuery preferred) and a managed ELT (Fivetran preferred) * Demonstrated daily use of AI coding tools to deliver production output * Strong written and verbal communication skills Key requirements *

and * Design and operate reverse-ETL to move trusted data back to systems of record * Migrate legacy reports to the new BigQuery foundation without disrupting continuity * Apply AI tools in daily workflows and define standards for AI-augmented analytics engineering * Create schemas, documentation, and semantic conventions optimized for downstream AI agents * Build automated workflows on the warehouse for cost aggregation, executive reporting, and CRM data updates * Set technical standards, mentor teammates, and establish scalable conventions Tasks * 8+ years in production analytics or data engineering with hands-on dbt ownership * Strong business fluency in B2B SaaS and understanding of GTM, billing, customer lifecycle workflows (ARR, NRR, churn, CAC, gross margin, pipeline) * Ability to translate finance/RevOps questions into data models, understanding upstream processes * Expert SQL and dimensional modeling with opinions on incremental materialization * Production experience with a aaa to data warehouse (BigQuery preferred) and a managed ELT (Fivetran preferred) * Demonstrated daily use of AI coding tools to deliver production output * Strong written and verbal communication skills Key requirements *