Anaplan Engineer Jobs

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3d ago

Lead Analytics Engineer – Enterprise, Data & AI

Zoox Foster City, CA

Foster City, CA

3d ago

$236k - $284k/yr Full time Analytics Anaplan Apache Airflow

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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

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