1 month ago
Chicago, IL, USA +9 moreSenior
Base Salary
$104k - $144k/yr
Responsibilities
- Design and deliver trusted Snowflake data products, certified dimensional structures, reusable views, and data contracts.
- Define and maintain shared business concepts, terminology, relationships, rules, measures, and semantic data products.
- Implement Snowflake Cortex semantic views and analytical Cortex Agents while validating AI-generated outputs.
- Validate semantic data products for business accuracy, data quality, usability, performance, security, and production readiness.
- Create representative business questions, verified queries, expected results, and regression tests for semantic and AI solutions.
- Investigate 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.
- Lead semantic-modeling initiatives from discovery through design, implementation, deployment, and continuous improvement.
- Partner with business owners, domain experts, and technical teams across functions, processes, systems, and regional variations.
Requirements
- 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, including grain, relationships, metrics, identity, and historical change.
- Advanced SQL skills and experience delivering production data products in Snowflake.
- Experience with semantic layers, reusable metric definitions, and business metadata supporting natural-language data access, enterprise search, copilots, or AI agents.
- Experience with source control, code review, automated testing, deployment, and change-management practices.
- Practical experience using approved AI tools with disciplined validation of AI-generated outputs.
- Strong communication and facilitation skills with business stakeholders and cross-functional teams.
- Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field, or equivalent practical experience is preferred.
- Experience with Snowflake Cortex semantic views, Cortex Analyst, Cortex Agents, or comparable AI-enabled semantic-layer technologies is preferred.
- Experience creating evaluation datasets, verified query libraries, or validation frameworks for analytics, natural-language-to-SQL, or AI solutions is preferred.
- Experience with enterprise data catalogs, metadata management, lineage, and data-quality platforms is preferred.
- Experience using Python or a similar programming language, YAML, APIs, or MCP-based integrations is preferred.
- Exposure to controlled vocabularies, taxonomies, knowledge graphs, or ontologies is useful.
Benefits
- Full-time US roles include healthcare, dental, and vision insurance for employees and eligible dependents.
- 401(k) plan with a company match of 50% up to 12% of eligible compensation.
- Starting PTO accrual of 22 days per year, plus paid holidays and volunteer time.
- Additional wellness, financial, and work/lifestyle-specific benefits are offered.
- Full-time position based in San Francisco, Atlanta, Chicago, Columbus, Dallas, Denver, Nashville, New York, Phoenix, or Seattle.
About Prologis
Prologis is a public logistics real estate company that develops, owns, and leases industrial warehouses and distribution facilities for e-commerce, retail, and logistics customers. It also provides operations, energy, mobility, and warehouse solutions that support tenants’ supply chains. Founded in 1983 and headquartered in San Francisco, it operates globally and trades on the NYSE as PLD, with a portfolio exceeding one billion square feet of logistics space.