Senior Semantic Data Engineer

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably.

With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next.

Job Title:

Senior Semantic Data Engineer Company:

PrologisA day in the life Prologis is transforming how work gets done by bringing trusted data, automation, and AI into the core of its operations. As a Senior Semantic Data Engineer on the Data Solutions team, you will help create a shared enterprise understanding of business concepts, relationships, rules, and measures so people, applications, processes, and AI can interpret and use data consistently.

This multidisciplinary role combines senior data engineering, business analysis, semantic modeling, AI evaluation, and enablement, with close partnership across business leaders, domain experts, and technical teams. You will carry solutions from discovery through production, helping Prologis improve decision confidence, accelerate solution delivery, and scale automation and AI without recreating business logic for each use case.

Key responsibilities include:

Design and deliver trusted, reusable Snowflake data products for business domains, translating source data into certified dimensional structures, reusable views, and data contracts while resolving identity and modeling historical change.

Build and maintain the semantic layer by defining shared business concepts, terminology, relationships, rules, and measures that support consistent use of enterprise data across analytics, applications, business processes, automation, and AI.Implement semantic data products using Snowflake Cortex semantic views and analytical Cortex Agents, applying approved AI capabilities to improve delivery speed, quality, and consistency while remaining accountable for outputs.

Validate semantic data products for business accuracy, data quality, usability, performance, security, and production readiness.

Develop and maintain representative business questions, verified queries, expected results, and regression tests; investigate inaccurate or inconsistent AI-generated answers and improve the underlying data, semantic model, instructions, or examples.

Capture definitions, mappings, ownership, lineage, and user guidance in version-controlled, machine-readable formats and publish this content to the enterprise data catalog through automated processes.

Lead complex semantic-modeling initiatives from business and source discovery through technical design, implementation, production deployment, and continuous improvement, partnering with business owners and domain experts across business functions, processes, systems, and regional variations.

Building blocks for success

Required:

Five or more years of experience in data engineering, data modeling, analytics engineering, or a related discipline.

Experience designing conceptual, logical, physical, and dimensional data models and translating business concepts into production data products, including grain, relationships, metrics, identity, and historical change.

Advanced SQL skills.

Experience designing and delivering production data products in Snowflake.

Experience with semantic layers, reusable metric definitions, and business metadata that support natural-language data access, enterprise search, copilots, or AI agents.

Experience managing technical assets through source control,…