Senior Semantic Data Engineer

About Prologis The world runs on logistics. Prologis defines the industry. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to clean 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. Learn more at Prologis.com.

Prologis

Ahead of What’s Next

Logistics Real EstateEnergy & SustainabilityMobilityOperations Solutionsand Warehouse Solutions

P

prologis.com

1,001-5,000 employees

Real Estate

San Francisco, CA

1983

Public Company

189k LinkedIn followers

Raised $5.3B

• 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, 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.

Preferred

• Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field, or equivalent practical experience.
• Experience with Snowflake Cortex semantic views, Cortex Analyst, Cortex Agents, or comparable AI-enabled semantic-layer technologies.
• Experience creating evaluation datasets, verified query libraries, or validation frameworks for analytics, natural-language-to-SQL, or AI solutions.
• Experience with enterprise data catalogs, metadata management, lineage, and data-quality platforms.
• Experience using Python or a similar programming language and machine-readable formats such as YAML to create and maintain data and metadata assets, including exposure to APIs or MCP-based integrations; exposure to controlled vocabularies, taxonomies, knowledge graphs, or ontologies is also useful.
• Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.
• $104,000 - $144,000. Salary and whole compensation package (bonus target) to be determined by the candidate’s location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
• Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.
• When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.
• As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.
• All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.
• Full time

• Healthcare insurance
• Dental insurance
• Vision insurance
• 401k retirement plan
• Company match
• Paid time off
• Paid holidays
• Volunteer time
• Leadership development