SQUIRE - Director, Data Engineering
Requirements
• 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 • Don’t let this list stop you from applying - If you are interested in the role, we’d love to hear from you!
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
Benefits
• As a Director, Data Engineering, you’ll 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 SQUIRE's AI future — with the authority to turn that strategy into a lasting practice. • 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
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