Senior Semantic Data Engineer - Snowflake AI

Prologis; Columbus (OH); On-site; USD 104,000 - 144,000; Full time

Job summary

Prologis is hiring a Senior Semantic Data Engineer to lead semantic modeling and data products across the enterprise. You will translate business concepts into production data products and build a reusable semantic layer to support AI, copilots, and analytics.

Join a cross-functional team to deliver trusted data assets, maintain data contracts, and scale automation with semantic tooling. Strong SQL, Snowflake, and data modeling are essential for success.

Qualifications

• 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.
• 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, code review, automated testing, deployment, and change-management practices.
• Practical experience using approved AI tools in analysis, engineering, documentation, testing, or problem-solving, with disciplined validation of AI-generated outputs.
• Communication and facilitation skills demonstrated through work with business stakeholders, translation between business and technical teams, ambiguity resolution, influence without direct authority, and leadership across collaborating teams.

Responsibilities

• 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.

Skills

Advanced SQL

Snowflake

Semantic layer

Data modeling

Stakeholder comms

Education

Bachelor's degree

CS/IS/Engineering degree

Tools

Snowflake Cortex

Cortex Analyst

Cortex Agents

Job description

Prologis is hiring a Senior Semantic Data Engineer to lead semantic modeling and data products across the enterprise. You will translate business concepts into production data products and build a reusable semantic layer to support AI, copilots, and analytics.

Join a cross-functional team to deliver trusted data assets, maintain data contracts, and scale automation with semantic tooling. Strong SQL, Snowflake, and data modeling are essential for success.