Lead Data Engineer

At Fullbay, our mission is simple — to create safer roads for our families and yours. As leaders in the heavy-duty repair industry, we power shops with technology that helps them run smarter and more efficiently. As an AI-First company, we invite artificial intelligence to eliminate friction, spark innovation, and drive efficiencies in every conversation— for our teams and our customers.

Fullbay is the number one cloud-based shop management software for commercial repair shops and is growing fast. This is an exciting opportunity to join a high-performing team and help shape the next phase of growth for the company.

The Lead Data Engineer owns Fullbay's data platform end to end. Fullbay runs a Snowflake data warehouse that serves organizational reporting across two live products and acts as the primary read plane for AI agents. This role owns the architecture of that platform, builds it out hands-on, and holds the authority to set standards and revise the design as the business changes.

At its core this is an enablement role. Business users and AI agents increasingly self-serve against Fullbay data, and the Lead Data Engineer is what makes that self-service trustworthy, through certified metric definitions, a well-governed semantic layer, and disciplined platform standards. The role reports directly to the VP of IT with the charter to set data standards company-wide.

Every heavy-duty shop runs on one set of specs. Torque values, part numbers, and service intervals only work when the tech, the service writer, and the parts counter all read from the same manual. When two people have two different numbers for the same bolt, the truck comes back. That's this role, but for the numbers Fullbay runs on: the definitions behind every report, for two live products and for the AI agents that now read the data as readily as people do.

You're the right fit if you've owned a production data platform and know the difference between a metric that's documented and one that's trusted. You can declare a grain and defend it in the morning, ship tested SQL through version control by noon, and tell an executive no, with the reasoning, before the end of the day. You treat documentation as the deliverable, because you may be the only person who knows how something works, and you're curious about what it takes to make company data something agents can rely on.

This isn't the role for someone who wants to build reports on request, or who needs a data team, a finished design, and a scoped backlog to lean on. If your instinct is to say yes to every ask and sort out the definition later, this isn't your shop. But if you're the kind of person who will set the standard, hold the line on it, and write it down so the next person can pick it up without a phone call, we'd like to talk.

• Certified Definitions & Semantic Layer:
  Own the metric and entity definitions the whole company reports from and serve as the final arbiter when functions disagree on a definition. Keep documentation current enough that a business user finds the right answer without needing to ask — this is the center of the role, not a component of it.
• Gold Layer Ownership:
  Build and extend Fullbay’s gold layer hands-on, writing SQL and transformation code in version control with automated tests.
• Identity Resolution:
  Own identity resolution across our Classic, Next, and Salesforce platforms, including crosswalk logic, survivorship rules, and platform-of-record determination over time. A permanent responsibility, not a one-time migration task.
• Snowflake Platform Ownership:
  Own Snowflake’s role hierarchy and grants, row access and masking policies,…