Director, Data Engineering

SQUIRE

Director of Data Engineering at SQUIRE, focusing on data architecture and team leadership for barbershop management. Responsible for developing AI capabilities and data strategies that enhance operations.

Posted 7/23/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $200,000 - $230,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data strategy and architecture, with advanced skills in SQL and Python, and hands-on experience with Snowflake and orchestration tools. Proven ability to lead and build multidisciplinary data organizations while translating technical strategies for non-technical stakeholders.

Highest-signal resume keywords

Data Strategy OwnershipAdvanced SQL SkillsPython ProgrammingSnowflake ExperienceLeadership in Data Organization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMachine Learning EngineeringData ModelingData Quality StandardsMDM FundamentalsAI Enablement StrategyLLM ToolingPipeline DesignTechnical DirectionBudget Management

Soft Skills

Cross-Functional CollaborationStakeholder CommunicationTeam LeadershipStrategic PlanningProblem Solving

Tools & Technologies

SnowflakeDbtAirflowDagsterPrefect

Industry Keywords

Data IntegrationAutomationData ContractsData ArchitectureData Analytics

Tech Stack

Tools & technologies

AirflowPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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