Lead Analytics Engineer – Enterprise, Data & AI

Zoox

Lead Analytics Engineer at Zoox developing AI-ready datasets from enterprise data sources. Collaborating with cross-functional teams and optimizing data models for performance.

Posted 7/13/2026full-timeFoster City • California • 🇺🇸 United StatesSenior💰 $236,000 - $284,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing semantic data models and frameworks, utilizing Python and SQL for high-performance data solutions. Proven ability to collaborate with cross-functional teams and establish data quality standards while leveraging modern data stacks and AI technologies.

Highest-signal resume keywords

Data Engineering & AnalyticsSemantic Framework DevelopmentPython & SQL ProficiencyModern Data Stacks (Snowflake, Databricks)Automated Testing & Observability Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingQuery OptimizationPerformance TuningData Architecture DesignAI Code DeploymentData ReconciliationAnomaly DetectionRoot-Cause AnalysisSelf-Service Analytics CreationVersion Control

Soft Skills

CollaborationMentoringProject ManagementCommunicationProblem-Solving

Tools & Technologies

SAP S/4HANAWorkdaySalesforceAirflowLakeflowArgoTableauStreamlitBig QueryLLMs

Industry Keywords

Enterprise Data ModelsData Quality StandardsCloud-Native Data PlatformsAnalytics PipelinesCross-Functional Stakeholders

Tech Stack

Tools & technologies

AirflowBigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact

Lead the design and implementation of our semantic layer and data modeling strategy.
Ensure that data from SAP (S/4HANA, Ariba, BRIM, ME), Workday, Salesforce, and Anaplan is transformed into clean, performant, and "AI-ready" datasets.
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.
Partner with cross-functional business leaders to translate complex operational requirements into high-impact, scalable data solutions.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
Long-term care insurance
Long-term and short-term disability insurance
Life insurance
Paid time off (e.g. sick leave, vacation, bereavement)
Unpaid time off
Zoox Stock Appreciation Rights
Amazon Restricted Stock Units (RSUs)