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WonderschoolWonderschoolSan Francisco, CA

Data Lead

Build and own the canonical data model and pipelines powering Wonderschool's product, government platform, and AI agents. Hands-on role focused on data modeling, identity resolution, state data delivery, governance, and enabling self-serve metrics in a regulated environment.

Salary not listed
On-site5+ YOEData Engineering

About the role

Responsibilities

  • Build the canonical data model for providers, sites, children, and families across BigQuery, HubSpot, Stripe, and our product databases. One ID, one definition, one source of truth.
  • Structure our data so AI agents can read it and act on it: entity tables, snapshots, and pre-computed briefings that power provider coaching at scale.
  • Own data delivery for our state government platform: bi-directional Data Hub sync, historical licensing data migration, staging-to-prod loads, validation, and governance sign-off.
  • Lead identity resolution and deduplication across legacy state systems so every provider and child has one accurate record.
  • Define and document the metrics the business runs on, from "active provider" to churn risk, and make them self-serve for operations and provider success teams.
  • Set the data quality bar: monitoring, alerting, lineage, and handling of sensitive data in line with government agreements.
  • Use agents to automate your own workflows first, then help other teams do the same with their data questions.

Requirements

  • First or early data hire at a startup.
  • Shipped data work in a regulated environment (govtech, healthtech, or fintech), where governance, masking, and audit trails are table stakes.
  • Comfortable writing a dbt model as well as working through a data governance agreement with a state counterpart.
  • Real scar tissue from entity resolution and dedup work.
  • Use AI agents as a daily part of how you work; understand what makes data legible to an LLM.
  • Figure things out independently.
  • Happiest as a team of one or two and would rather automate a task than hire around it.
  • Want to build the system, not inherit one.

Nice-to-Haves

  • Experience with BigQuery, HubSpot, Stripe, product databases.
  • Familiarity with dbt, data modeling, identity resolution, deduplication.
  • Experience with AI agents (Claude Code, Hermes, OpenClaw) to multiply output.
  • Background in government data delivery, state-mandated reporting, or similar regulated data environments.

Skills

SQLBigQuerydbtData Modelingentity resolutiondeduplicationData Governancedata quality monitoringAI Agentsllm data legibilityData Pipelinesmetrics definition

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