Lead Analytics Engineer – Enterprise Data & AI
Foster, CA - USA
Job Summary
Zoox is seeking a high-agency hands-on Lead Analytics Engineer to bridge the gap between our complex enterprise data sources and our AI-driven decision-making systems. You will lead the design and implementation of our semantic layer and data modeling strategy ensuring that data from SAP (S/4HANA Ariba BRIM ME) Workday Salesforce and Anaplan is transformed into clean performant and AI-ready datasets. This is a critical leadership role for a builder who wants to own the data foundation that powers our intelligent agents and business-wide analytical workflows.
- Design and maintain a unified semantic model that provides a single source of truth for cross-functional stakeholders AI Agents Self Serve Analytics and Executive dashboards.
- Collaborate with Data & AI Engineers to structure and optimize the data that allows to query enterprise knowledge with high accuracy and low latency.
- Establish organizational standards for data modeling version control testing and documentation to ensure high data quality and system maintainability.
- Implement automated testing and observability frameworks that proactively identify data anomalies and self-heal pipelines ensuring our data is always reliable for downstream consumption.
- Partner with cross-functional business leaders to translate complex operational requirements into high-impact scalable data solutions.
- 10 years in Data Engineering & Analytics with extensive hands-on experience building a semantic framework using Python SQL and modern orchestration frameworks (e.g. Airflow Lakeflow Argo). With at least 2 years of hands-on experience deploying AI generated code.
- Extensive experience using modern data stacks (e.g. Snowflake/Databricks Big Query) to build complex enterprise-grade data models.
- Deep understanding of data structures within large-scale enterprise platforms (SAP S/4HANA Salesforce Workday etc.) and the ability to reconcile disparate schemas into clean models.
- Exceptional ability to design modular scalable and performant data architectures that prioritize ease of use for downstream AI agents and Analytics tools.
- A track record of driving technical projects from design to completion mentoring junior engineers and fostering a culture of collaboration and data excellence.
- Experience using LLMs to automate data reconciliation anomaly detection or root-cause analysis within analytics pipelines with cloud-native data platforms (e.g. Snowflake Databricks).
- Expert-level Python & SQL skills with a focus on query optimization and performance tuning for massive datasets and reviewing AI generated code.
- Proficiency in creating self-service Analytics environments (e.g. Tableau Streamlit) that provide actionable insights to business stakeholders.
Required Experience:
IC
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.