Note: The job is a remote job and is open to candidates in USA. SQUIRE is a business management system designed for barbers, shop owners, and their communities. The Director, Data Engineering will build and lead the Data organization through a player-coach model, owning data architecture, technical standards, organizational strategy, and hands-on delivery. The role will lead Data Engineering, Machine Learning Engineering, and Analytics while enabling trusted reporting, automation, and AI use cases.
Responsibilities
- Design, build, and debug the highest-impact pipelines, connecting our business systems, including CRM, billing, and internal platforms to our Snowflake warehouse, in both directions
- Own the data strategy and architecture across a multi-year horizon, while maintaining deep, hands-on familiarity with the systems and their edge cases
- Establish technical direction and standards for pipeline design, data modeling, and data quality across the org; personally build and ship the highest-risk or most ambiguous work
- Build, structure, and lead a growing Data organization of 5+ across Data Engineering, ML Engineering, and Analytics
- Own headcount planning, hiring strategy, and budget for the Data organization
- Partner with the Chief Product and Technology Officer and cross-functional leaders to translate company strategy into data contracts and platform investments
- Lead audits of existing integrations and automations, and determine what should be replaced and how that work should be prioritized
- Champion AI and automation enablement company-wide, ensuring agents and LLM use cases are built on a trusted data foundation, while remaining hands-on in building select enablement capabilities
Skills
- 8+ years in data or software engineering, including 4+ years managing engineers
- Experience building and leading a multidisciplinary data organization (data, ML, analytics, software) of 5+ people
- Advanced SQL and Python skills, along with strong MDM fundamentals, with the technical depth to lead by example
- Hands-on experience with Snowflake (or equivalent), dbt, and an orchestration tool such as Airflow, Dagster, or Prefect, beyond just an architectural understanding
- Direct experience setting AI and LLM enablement strategy and building with LLM tooling
- Comfortable operating at Director scope (*owning budgets, advocating for roadmaps, and translating technical tradeoffs for non-technical stakeholders*) while remaining directly involved in technical execution
- Experience building AI agents with LLMs (*wired models into real systems with tool use, retrieval, and orchestration*) and with the ability to guide others doing similar work
- Backend engineering experience (ideally in JS/TS) with sufficient depth to effectively evaluate architecture
- Strong ML and MLOps knowledge, with the ability to set direction, assess technical tradeoffs, and support ML Engineering Leads
- Experience with Salesforce, Stripe, Gong, or reverse ETL (Polytomic), and data governance / PII handling at a company-wide policy level
Benefits
- Bonus (15%)
- New hire stock grant
- 100% employer-paid medical/dental/vision insurance for you and your dependents
- 401K plan with company contribution
- Generous PTO and Parental Leave policies
Company Overview
Company H1B Sponsorship