Enterprise Semantic Platform Architect

Zendesk, Inc.; Madison (WI); Híbrido; USD 200.000 - 300.000; Jornada completa

Descripción de la vacante

Zendesk, Inc. is seeking a Senior Staff Engineer to lead the architecture and engineering of an AI-ready semantic data platform.

You will shape the enterprise semantic layer across metrics, dimensions, and relationships to enable analytics and AI agents with a trusted data foundation. You will partner with data engineers, data scientists, and AI teams to define reusable capabilities, ensure governance, and deliver production-ready solutions.

Formación

• Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, or related field.
• 10+ years of experience in data engineering, data architecture, distributed systems, software engineering, or related platform disciplines with technical leadership.
• At least 3+ years of hands-on experience in Semantic Layer implementation.
• Experience designing and building large-scale data/analytics/semantic/platform systems in production.
• Deep expertise with Snowflake or Databricks, dbt, and cloud-based ELT pipelines.
• Strong software engineering fundamentals with SQL and Python/Java/Go/Scala.
• Understanding of dimensional, entity-based data modeling and metrics definitions.
• Excellent communication and ability to collaborate with executives and engineers.
• Proven ability to mentor senior engineers and influence decisions across teams.

Responsabilidades

• Define enterprise semantic architecture for metrics, dimensions, entities, relationships, grain, time semantics, and business context.
• Establish reusable semantic contracts for consistent business definitions and data products.
• Evaluate and recommend long-term semantic platform architecture (Snowflake, dbt, Cube, etc.).
• Design and build metadata-driven platform capabilities for semantic discovery and governance.
• Define how conversational analytics consume enterprise semantics and interact with Data Agents.
• Establish golden datasets and evaluation practices for semantic interpretation and metric correctness.
• Lead multi-team initiatives from architecture to production adoption and improvement.
• Influence build-vs-buy decisions; mentor engineers across Data Eng, Analytics, BI, and AI.
• Treat platform as internal product with documentation, onboarding, and migration efforts.

Conocimientos

Technical leadership

Data architecture

Data engineering

SQL

Programming (Python/Java/Go/Scala)

Communication

Mentoring

Cross-team collaboration

Architectural direction

Educación

Bachelor's or Master's in CS/Data Science/Data Engineering

Herramientas

Snowflake Semantic Views

dbt

dbt Semantic Layer / MetricFlow

Cube

LookML / Looker

Atscale

Descripción del empleo

Zendesk, Inc. is seeking a Senior Staff Engineer to lead the architecture and engineering of an AI-ready semantic data platform.

You will shape the enterprise semantic layer across metrics, dimensions, and relationships to enable analytics and AI agents with a trusted data foundation. You will partner with data engineers, data scientists, and AI teams to define reusable capabilities, ensure governance, and deliver production-ready solutions.