Director, Data Engineering
Core
Build and lead the Data organization (Engineering, ML, Analytics) to create a trusted data foundation for company-wide reporting, automation, and AI capabilities.
Role type
Director, Data Engineering (player-coach model)
Builds
Reliable data pipelines, scalable systems, and AI/LLM enablement capabilities
Domain
SaaS / Business Management for Barbershops
Deliverable
production ML models | infrastructure
Required skills
Data architecture, pipeline design, SQL, Python, MDM, Snowflake, dbt, orchestration (Airflow/Dagster/Prefect), AI/LLM strategy, budget management, hiring strategy
Preferred skills
AI agents with LLMs, Backend engineering (JS/TS), MLOps, Salesforce/Stripe/Gong experience, reverse ETL, data governance
Technologies
Snowflake, dbt, Airflow, Dagster, Prefect, Salesforce, Stripe, Gong
Responsibilities
Design and debug high-impact pipelines connecting business systems to Snowflake; establish technical direction and standards for data modeling and quality; lead a multidisciplinary data organization of 5+; partner with CPO/CTO on data contracts and platform investments; champion AI and automation enablement company-wide
Seniority
Director, strategic ownership with hands-on technical execution
