Senior Semantic Data Engineer — Snowflake AI Data Platform

Prologis; New York (NY); On-site; USD 104,000 - 144,000; Full time

Job summary

Prologis is seeking a Senior Semantic Data Engineer to join the Data Solutions team in transforming data into trusted semantic products. The role spans data modeling, semantic layer design, and AI-enabled analytics across the enterprise.

You will deliver Snowflake-based data products, validate data quality, and collaborate with business and technical teams to scale automation and AI-driven decision-making.

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, 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, 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 Snowflake data products for business domains with data contracts and dimensional structures.
• Build and maintain the semantic layer by defining concepts, relationships, rules, and measures.
• Implement semantic data products using Snowflake Cortex and Cortex Agents with AI capabilities.
• Validate semantic data products for accuracy, quality, usability, performance, and security.
• Develop verified queries, expected results, and regression tests; improve AI outputs as needed.
• Capture definitions, mappings, lineage, and guidance in machine-readable formats and publish to the data catalog.
• Lead semantic-modeling initiatives from discovery to production, partnering with business owners and domain experts.

Skills

5+ years experience

Data modeling

Advanced SQL

Semantic layers

Source control

Automated testing

AI tooling usage

Communication with stakeholders

Education

Bachelor’s degree

Tools

Snowflake

Snowflake Cortex

Cortex Agents

Python

YAML

APIs

Job description

Prologis is seeking a Senior Semantic Data Engineer to join the Data Solutions team in transforming data into trusted semantic products. The role spans data modeling, semantic layer design, and AI-enabled analytics across the enterprise.

You will deliver Snowflake-based data products, validate data quality, and collaborate with business and technical teams to scale automation and AI-driven decision-making.