Lead Analytics Engineer – Enterprise, Data & AI

The role

Lead the design of a semantic layer and data models that turn enterprise data from SAP, Workday, Salesforce and Anaplan into clean, AI-ready datasets. Own the data foundation that powers intelligent agents and business analytics.

What you will do

• Design and maintain a unified semantic model as a single source of truth for stakeholders, AI agents, self-serve analytics and executive dashboards.
• Work with Data and AI Engineers to structure data for accurate, low-latency enterprise knowledge queries.
• Set organizational standards for data modeling, version control, testing and documentation.
• Build automated testing and observability that detect data anomalies and self-heal pipelines.
• Partner with business leaders to turn operational requirements into scalable data solutions.

Required qualifications

• 10+ years in data engineering and analytics.
• Hands-on experience building a semantic framework with Python, SQL and modern orchestration tools (e.g. Airflow, Lakeflow, Argo).
• At least 2 years of hands-on experience deploying AI-generated code.
• Extensive experience with modern data stacks (e.g. Snowflake, Databricks, BigQuery) for enterprise-grade data models.
• Deep understanding of data structures in large enterprise platforms (SAP S/4HANA, Salesforce, Workday) and reconciling disparate schemas.
• Ability to design modular, scalable, performant data architectures for AI agents and analytics tools.
• Track record of driving technical projects from design to completion and mentoring junior engineers.

Nice to have

• Experience using LLMs to automate data reconciliation, anomaly detection or root-cause analysis on cloud data platforms.
• Expert-level Python and SQL with query optimization and performance tuning for massive datasets, including reviewing AI-generated code.
• Proficiency creating self-service analytics environments (e.g. Tableau, Streamlit).

Before you apply

• You do not need to match every listed expectation to apply.

About the company

Zoox is developing the first ground-up, fully autonomous vehicle fleet and supporting ecosystem for urban mobility-as-a-service. It sits at the intersection of robotics, machine learning and design.