Director, Data Engineering

Role Description

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

Location: Remote - US or Canada

Type: Full-Time

Compensation: Base ($200,000 - $230,000) + Bonus (15%)

Qualifications

• 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

Requirements

• 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.

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