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Open nowPosted 93 days ago

Director, Data Engineering

SQUIRE3 open roles

Pay
$200,000 – $230,000 a year
Where
United States
Work mode
Remote
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Your applicationOpen nowDirector, Data EngineeringSQUIRE · United States

  1. YouYes, apply to this one.

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on SQUIRE's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 93 days ago

The posting

💈 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.

Founded in 2015, SQUIRE is trusted by more than 30,000 barbers across 5,000+ shops in more than a thousand cities worldwide. From streamlined booking and opening new shops to real-time earning dashboards and building lasting customer relationships, SQUIRE supports shop owners in seamlessly bridging the gap between their personal craft and business goals. SQUIRE enables barbers everywhere to unlock their full potential both as artists and as entrepreneurs.

For more information, please visit getsquire.com or download the SQUIRE app from the App or Play Store.

🎯 ABOUT THE ROLE

🧰 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
  • 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

⚙️ YOUR FOUNDATION (Experience & 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

✂️ EXTRA CUT (Nice to Haves)

  • 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

🚀 WHY SQUIRE?

🎁 WHAT WE OFFER

  • 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

Interview Accommodations

SQUIRE is committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are an individual with a disability requiring an accommodation to apply for an open position, please email your request to [email protected] and someone on our team will respond to your request.

Equal Employment Opportunity

SQUIRE provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Pay Transparency Nondiscrimination Provision

SQUIRE will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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