Senior Semantic Data Engineer: AI-Driven Data Platform

Prologis; San Francisco (CA); On-site; USD 104,000 - 144,000; Full time

Job summary

Prologis is seeking a Senior Semantic Data Engineer to design and deliver trusted Snowflake data products that translate source data into certified dimensional structures and reusable views. You will define shared business concepts, terminology, and rules to support enterprise analytics, applications, and AI initiatives.

The role emphasizes building a robust semantic layer, validating data quality, and partnering with business owners across regions to scale automation and AI while maintaining

Qualifications

• 5+ years of experience in data engineering, data modeling, analytics engineering, or related discipline.
• Experience designing conceptual, logical, physical, and dimensional data models and translating business concepts into production data products.
• Advanced SQL skills.
• Experience delivering production data products in Snowflake.
• Experience with semantic layers and AI-enabled data access.
• Experience with source control, automated testing, deployment, and change management.
• Practical use of approved AI tools with validation of outputs.
• Excellent communication with business stakeholders and cross-functional teams.

Responsibilities

• Design and deliver trusted Snowflake data products for business domains.
• Build and maintain semantic layer with shared concepts, relationships, rules, and measures.
• Implement semantic data products using Snowflake Cortex semantic views and Cortex Agents.
• Validate data products for accuracy, quality, usability, performance, and security.
• Develop verification datasets, queries, and regression tests; improve data/model/instructions.

Skills

Data engineering

Advanced SQL

Semantic modeling

Communication

Education

Bachelor’s degree

Tools

Snowflake

Cortex semantic views

Cortex Analyst

Version control

Data catalog

Job description

Prologis is seeking a Senior Semantic Data Engineer to design and deliver trusted Snowflake data products that translate source data into certified dimensional structures and reusable views. You will define shared business concepts, terminology, and rules to support enterprise analytics, applications, and AI initiatives.

The role emphasizes building a robust semantic layer, validating data quality, and partnering with business owners across regions to scale automation and AI while maintaining