Director, Data Engineering

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%)

• 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

• 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

• 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!

• 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