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
Engineering
ERP
ETL
Financial Planning
Financial Planning Software
Lakeflow
Reporting and Analytics
Salesforce
SAP S4HANA
Snowflake
SQL
Technical Lead
Job Description
Zoox offers a competitive total rewards package for an onsite role in Foster City, CA. The base salary ranges from USD 236,000 to 284,000 per year, complemented by equity in the form of Amazon RSUs and Zoox Stock Appreciation Rights. A sign-on bonus may be offered. The benefits program includes health coverage, long-term and short-term disability, long-term care, life insurance, and paid time off, with additional unpaid time off as needed. This position supports a culture of collaboration and data excellence as you design AI-ready data foundations from SAP, Workday, Salesforce, and Anaplan data to power intelligent agents and enterprise analytics across the organization.
Benefits
- Paid time off (sick leave, vacation, 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
- Onsite work location in Foster City, CA
Responsibilities
- Design and maintain a unified semantic model that serves as 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 data for high accuracy and low latency when querying enterprise knowledge.
- Establish organizational standards for data modeling, version control, testing, and documentation to ensure data quality and maintainability.
- Implement automated testing and observability frameworks that proactively identify data anomalies and enable self-healing pipelines to keep downstream data reliable.
- Partner with cross-functional business leaders to translate complex operational requirements into scalable data solutions with high impact.
Requirements
- 10+ years in Data Engineering and Analytics, with extensive hands-on experience building a semantic framework using Python, SQL and modern orchestration tools (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.
- Strong ability to design modular, scalable, and performant data architectures that prioritize ease of use for downstream AI agents and analytics tools.
- A proven track record of driving 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
Similar Jobs
