Senior Staff Data Engineer
About the role
Our Enterprise Data & Analytics (EDA) team is looking for an experienced Senior Staff Engineer to lead the architecture and engineering of an Enterprise AI-ready semantic data platform. We are building an AI-ready Enterprise data foundation that enables analytics, applications, and AI agents to operate from the same trusted understanding of business data. Our platform includes trusted foundational data models across Customer, Finance, GTM, and Product; a governed semantic layer for metrics, dimensions, entities, relationships, and business context; and conversational analytics over enterprise data.
As a Senior Staff Engineer on our EDA Engineering Team, this role sits at the intersection of data engineering, data architecture, software engineering, and AI. The successful candidate will partner with architects, data engineers, data scientists, Analysts Teams, and AI teams to establish reusable platform capabilities that are reliable, observable, secure, governed, and practical to adopt. This role is ideal for someone who can set technical direction across multiple teams while remaining hands-on with architecture, prototyping, and production delivery.
The Intelligent Heart Of Customer Experience Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love. Zendesk believes in offering our people a fulfilling and inclusive experience.
Responsibilities
- Define the enterprise semantic architecture for metrics, dimensions, entities, relationships, grain, time semantics, and business context over trusted foundational data models.
- Establish reusable semantic contracts so analytics, applications, and AI systems operate from consistent business definitions and governed data products.
- Evaluate and recommend the long-term semantic platform architecture, including Snowflake Semantic Views, dbt Semantic Layer /