Staff Data Engineer - GCP

The Mission

At Booksy, we are moving beyond traditional ETL. We are building a high-integrity, Zero Copy data ecosystem where BigQuery serves as the immutable "Source of Truth" for Finance, and Salesforce Data Cloud serves as the "Live Record" for our Sales, Marketing, and CX teams.

As the Customer Staff Engineer, you will own the bridge between these two worlds. You will ensure that every dollar reported to our Board of Directors reconciles perfectly with the customer activity seen on the front lines, all while supporting Data Scientists to leverage Vertex AI to turn that data into predictive growth.

What You Will Do

• Architect the "Zero Copy" Future: Lead the implementation of data sharing between BigQuery and Salesforce Data Cloud. You will ensure we "connect, not collect," reducing latency and storage costs.

• Own Financial Integrity: Partner with the VP FP&A to build BigQuery models that serve as the definitive source for ARR, LTV, and Churn. You will ensure these models handle complex logic like refunds, currency normalization, and mid-month plan changes.

• Build the Customer 360: Create a unified identity graph that links internal provider IDs, Stripe IDs, and Salesforce Account IDs to provide a 360-degree view of the Booksy partner.

• Data Quality & Fraud Defense: Develop automated systems to identify and filter "Invalid Businesses" (bots and bad actors) to ensure our AI models and financial reports remain untainted.

• AI Enablement: Design and maintain the feature engineering pipelines in Vertex AI that power our predictive models for customer health and retention.

• Governance & Mentorship: Define the standards for "Official" vs. "Operational" reporting. Mentor senior engineers and advocate for a culture of data observability and high-integrity engineering.

Who You Are

• The Architect: You have deep experience with Google BigQuery and are an expert in modern data sharing (Zero Copy / Federated Queries). Experience with Salesforce Data Cloud (formerly Genie) is a massive plus.

• The "CFO's Best Friend": You don't just write SQL; you understand business logic. You know why a "Booking" is an operational metric but a "Successfully Processed Payment" is a financial one.

• Semi-Structured Specialist: You are comfortable handling massive volumes of JSON event data, knowing exactly how to model a lean schema for performance at scale.

• Systems Thinker: You look at the "Identity Map" and see the backbone of the company. You care about data lineage and how a change in the billing system ripples down to a Sales rep's dashboard.

• Staff-Level Leader: You have a track record of leading cross-functional projects that involve stakeholders from Finance, Sales, and Engineering. You can explain complex architectural trade-offs to non-technical executives.

Technical Stack

• Data Warehouse: BigQuery (SQL, Analytics Engine)

• CRM/Ops: Salesforce Data Cloud & Salesforce Reporting

• BI: Looker (Official Reporting)

• AI/ML: Vertex AI

• Data Integration: Zero Copy / Data Sharing, dbt (or similar modeling tools)

• Languages: SQL (Expert), Python (Advanced)

Why Booksy?

This isn't a role where you just maintain pipelines. You are building the financial nervous system of a global marketplace. You will have a direct seat at the table with the Senior Leaders and a mandate to use the newest cloud technologies to solve one of the hardest problems in tech: The Unified Customer Truth.

The "Staff Level" Differentiator (The "Secret Sauce")

In your interview, we won't just ask you to code. We will ask you how you handled a $1M discrepancy between two systems, how you stopped a bot attack from ruining your LTV metrics, and how you architected a system that stayed fast as the data grew 10x.