Director, Data Engineering

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🗽 New York – Remote

🗽 New York – Remote

💵 $200k - $230k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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SQUIRE

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2015

☁️ SaaS

🤝 B2B

🛒 Retail

SaaS • B2B • Retail

SQUIRE is an all-in-one barber business management system designed to help barbershops attract and retain clients, streamline operations, and grow their business. The platform offers a comprehensive suite of features, including online booking, payments, appointment reminders, promo codes, loyalty programs, gift cards, and waitlist management. SQUIRE targets both barbers and business owners by providing tools for scheduling, client management, marketing, point of sale, staff management, and analytics. By simplifying day-to-day operations, SQUIRE empowers barbers to focus on their craft while enhancing customer experiences and increasing revenue.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Base Salary ($200,000 - $230,000) + 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