Director, Data Engineering

• 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!

WHY SQUIRE?

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.

• 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