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 30000 barbers across 5000 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.
At SQUIRE trusted data turns information into action - powering everything from company-wide reporting and automation to the AI capabilities shaping our next chapter. Were 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 organizations strategy. Youll own SQUIREs 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. Youll 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 Location: Remote - US or Canada Type: Full-Time Compensation: Base ($200000 - $230000) 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
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
The duties and responsibilities outlined above are not a comprehensive list and additional tasks may be assigned from time to time based on business needs.
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
Dont let this list stop you from applying - If you are interested in the role wed love to hear from you!
WHY SQUIRE
As a Director Data Engineering youll have real ownership over a function the whole company depends on a mandate to develop its leadership structure and the charter to define the data foundation for SQUIREs AI future with the authority to turn that strategy into a lasting practice.
WHAT WE OFFER
Base Salary ($200000 - $230000) 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 emailprotected 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 contractors legal duty to furnish information.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Director
WHO WE ARESQUIRE 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 an...
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 30000 barbers across 5000 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.
At SQUIRE trusted data turns information into action - powering everything from company-wide reporting and automation to the AI capabilities shaping our next chapter. Were 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 organizations strategy. Youll own SQUIREs 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. Youll 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 Location: Remote - US or Canada Type: Full-Time Compensation: Base ($200000 - $230000) 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
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
The duties and responsibilities outlined above are not a comprehensive list and additional tasks may be assigned from time to time based on business needs.
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
Dont let this list stop you from applying - If you are interested in the role wed love to hear from you!
WHY SQUIRE
As a Director Data Engineering youll have real ownership over a function the whole company depends on a mandate to develop its leadership structure and the charter to define the data foundation for SQUIREs AI future with the authority to turn that strategy into a lasting practice.
WHAT WE OFFER
Base Salary ($200000 - $230000) 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 emailprotected 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 contractors legal duty to furnish information.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
SQUIRE is a full service barbershop business management system, featuring branded tools as well as booking, scheduling, payment, and marketing management + more!
Job Location:
Monthly Salary:
Posted on:
Vacancies:
