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Director, Data EngineeringSQUIRE · United States
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SQUIRE

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Director, Data Engineering

🗓️ Posted 2026-10-18 United States Fulltime Hybrid ICT
💰 Salary US$16,667–US$19,167/mo (US$200,000–US$230,000/yr) 📊 Market US$16,666–US$29,166/mo

About the Company

All-in-one barbershop management platform SQUIRE is the world's leading and fastest-growing software technology platform for barbershops, a hundred-billion-dollar global industry. We provide a one-stop solution that helps small business entrepreneurs run and grow their businesses. SQUIRE is also the premiere booking engine that connects people with great barbers nationwide. We make it easy to discover and book the best barbers wherever you are, in just a few taps. With headquarters in New York and a presence in major cities in the United States, U.K. and Canada, SQUIRE has quickly become a market leader in technology solutions for the barbershop industry. SQUIRE is currently a Series D company and has raised over 165M to date. For more information, please visit getsquire.com or download the SQUIRE app from the App or Play Store. Software Development Specialties: Barbershop Management, Booking Engine, Appointment Scheduling, Business Operations, Point of Sale, Customer Management

Responsibilities

  • ● SQUIRE is the leading business management system designed for the needs of barbers, shop owners, and their communities. We believe the pursuit of artistry and autonomy should not be restricted by the complexities of running a business. With SQUIRE, we provide custom-branded tools, resources, and guidance to help barbers of all stages and experience levels attract and retain more customers, efficiently manage their shop operations, and increase their revenue.
  • ● For more information, please visit getsquire.com http://getsquire.com or download the SQUIRE app from the App https://apps.apple.com/us/app/squire/id957644357 or Play https://play.google.com/store/apps/details hl enUS&id com.getsquire.flagship Store.
  • ● WHO WE ARE
  • ● SQUIRE is the leading business management system designed for the needs of barbers, shop owners, and their communities. We believe the pursuit of artistry and autonomy should not be restricted by the complexities of running a business. With SQUIRE, we provide custom-branded tools, resources, and guidance to help barbers of all stages and experience levels attract and retain more customers, efficiently manage their shop operations, and increase their revenue.
  • ● For more information, please visit getsquire.com http://getsquire.com or download the SQUIRE app from the App or Play Store.
  • ● ABOUT THE ROLE
  • ● At SQUIRE, trusted data turns information into action - powering everything from company-wide reporting and automation to the AI capabilities shaping our next chapter. We're hiring a Director, Data Engineering to build and lead our Data organization through a player-coach model, spending approximately half your time hands-on in the code and the other half developing engineers, setting technical direction, and owning the organization's strategy. You'll own SQUIRE's long-term data architecture and lead a growing team spanning Data Engineering, Machine Learning Engineering, and Analytics.
  • ● Success in this role means building a data foundation the company trusts by default, with reliable pipelines, clear standards, and scalable systems. You'll have the authority and accountability to make architectural and organizational decisions needed to move the function forward while helping the team grow in both capability and impact. As SQUIRE continues to scale, your work will directly enable more confident decision-making, stronger automation, and AI use cases that power our next phase of growth.
  • ● Reports To: Chief Product and Technology Officer
  • ● Type: Full-Time
  • ● Compensation: Base ( 200,000 - 230,000) + Bonus (15%)
  • ● YOUR CRAFT (Job Duties & 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