Real job — pulled straight from Zoox’s careers page · Verified July 16, 2026 · No reposts.
Job description
Zoox is hiring a Lead Analytics Engineer — a full-time, based in Foster City, CA role. Apply directly on Zoox's careers page below.
Lead Analytics Engineer – Enterprise Data & AI
Team: IT Infrastructure
Location: Foster City, CA
Commitment: Full-time
Workplace Type: hybrid
Salary:
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.
In this role, you will:
- 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.
Qualifications:
- 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.
Bonus Qualifications:
- 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.
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Frequently asked questions
What skills are required for Lead Analytics Engineer at Zoox?
The required skills for Lead Analytics Engineer at Zoox include: Python, SQL, Airflow, Snowflake, Databricks, Workday, Salesforce, Tableau, LLM, Machine Learning, Data Engineering, ETL, Data Warehousing, Cloud Computing, BigQuery, DevOps.
What is the seniority level for Lead Analytics Engineer at Zoox?
Lead Analytics Engineer at Zoox is a Senior / Lead level position.
How do I apply for Lead Analytics Engineer at Zoox?
You can view the full description and apply for Lead Analytics Engineer at Zoox on EchoJobs: https://echojobs.io/job/zoox-lead-analytics-engineer-enterprise-data-ai-vo52x.