Lead Analytics Engineer – Enterprise, Data & AI
At a glance
Senior Data Analysis & BI role at Zoox. Foster City · full-time · $230,000–$315,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain a shared semantic model for business teams, AI agents, self-service analytics, and executive dashboards
- Work with Data and AI Engineers to make enterprise knowledge easier to query accurately and with low latency
- Set modeling, version control, testing, and documentation standards to keep data dependable and maintainable
- Create automated checks and observability that catch data anomalies and help pipelines recover
- Turn operational needs from business leaders into scalable data solutions
What you bring
- At least ten years working across data engineering and analytics, including hands-on semantic framework development
- At least two years deploying code generated by AI tools
- Hands-on use of Python, SQL, and modern orchestration frameworks to build semantic models
- Experience modeling enterprise data from platforms such as SAP, Salesforce, and Workday
- A record of taking technical projects from initial design through delivery and mentoring junior engineers
Who this fits
This senior, hands-on lead role suits someone who can shape enterprise data models and guide technical work while still building. The role is hybrid in Foster City.
From the employer
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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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.