Lead Analytics Engineer – Enterprise, Data & AI
Analytics
Anaplan
Apache Airflow
Argo Workflows
Artificial Intelligence
Automation
Big Data
Bigquery
Business Analytics
Business Intelligence
Cloud
Cloud Platform
Crm Integration
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Data Warehousing
Database
Databricks
Engineer
Engineering
ERP
ETL
Financial Planning
Financial Planning Software
Lakeflow
Reporting and Analytics
Salesforce
SAP S4HANA
Snowflake
SQL
Technical Lead
Job Description
Zoox invites you to join as a Lead Analytics Engineer focused on Enterprise, Data & AI in Foster City, CA. This onsite role centers on designing and implementing a unified semantic layer and data modeling strategy to transform SAP, Workday, Salesforce, and Anaplan data into AI ready datasets. You will empower intelligent agents and enterprise analytics across the organization. The base salary ranges USD 236,000 to 284,000 per year, with equity components and a comprehensive benefits program.
Benefits
- Paid time off including sick leave, vacation, and bereavement
- Unpaid time off
- Zoox Stock Appreciation Rights
- Amazon RSUs
- Health insurance
- Long-term care insurance
- Long-term and short-term disability insurance
- Life insurance
Responsibilities
- Design and sustain a unified semantic model that serves as the single source of truth for cross-functional stakeholders, AI agents, self serve analytics, and executive dashboards.
- Collaborate with Data and AI Engineers to structure and optimize data for precise, low latency enterprise knowledge queries.
- Establish standards for data modeling, version control, testing, and documentation to ensure high data quality and maintainable systems.
- Develop automated testing and observability frameworks that detect data anomalies and enable self-healing pipelines, keeping data reliable for downstream consumption.
- Partner with cross-functional business leaders to translate operational requirements into scalable, high-impact data solutions.
Requirements
- 10+ years in Data Engineering and Analytics, with hands-on experience building a semantic framework using Python, SQL and modern orchestration frameworks (Airflow, Lakeflow, Argo); at least 2+ years deploying AI generated code.
- Extensive experience with modern data stacks (Snowflake, Databricks, BigQuery) 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.
- Proven ability to design modular, scalable, and performant data architectures that are easy to use for downstream AI agents and analytics tools.
- A track record of delivering technical projects from design to completion, mentoring junior engineers, and fostering a culture of collaboration and data excellence.
Technologies
- Python
- SQL
- Airflow
- Lakeflow
- Argo
- Snowflake
- Databricks
- BigQuery
- SAP S/4HANA
- Ariba
- BRIM
- ME
- Workday
- Salesforce
- Anaplan
- Tableau
- Streamlit
Compensation overview
- Base salary: USD 236,000 to 284,000 per year
- Equity: Amazon RSUs and Zoox Stock Appreciation Rights
- Sign-on bonus may be offered
- Compensation varies by geographic location and level, with leveling influenced by years of experience, domain knowledge, and interview performance
Location detail: Foster City, CA, onsite.
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