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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and delivering Snowflake data products, including advanced SQL skills and experience with semantic layers and data modeling. Proven ability to translate business concepts into production data products while ensuring data quality and usability.
Highest-signal resume keywords
Snowflake Data Product DesignAdvanced SQL SkillsData Modeling and Analytics EngineeringSemantic Layer ImplementationAI Tools Validation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData ModelingDimensional Data ModelsProduction Data ProductsSemantic LayersVersion ControlPython ProgrammingYAML FormatsAPIsData Quality Management
Soft Skills
Communication SkillsFacilitation SkillsInfluence Without AuthorityAmbiguity ResolutionLeadership
Tools & Technologies
Snowflake CortexCortex AnalystCortex AgentsEnterprise Data CatalogsMetadata Management
Industry Keywords
Data ContractsBusiness MetadataData LineageKnowledge GraphsTaxonomies
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design and deliver trusted, reusable Snowflake data products for business domains
- Translate source data into certified dimensional structures, reusable views, and data contracts
- Resolve identity and model historical change
- Build and maintain the semantic layer defining shared business concepts, terminology, relationships, rules, and measures
- Implement semantic data products using Snowflake Cortex semantic views and analytical Cortex Agents
- 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 data, semantic models, instructions, or examples
- Capture definitions, mappings, ownership, lineage, and user guidance in version-controlled, machine-readable formats
- Publish semantic 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
- Partner with business owners, domain experts, business leaders, and technical teams across business functions, processes, systems, and regional variations
- Help Prologis improve decision confidence, accelerate solution delivery, and scale automation and AI without recreating business logic for each use case
Requirements
What you’ll need- 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
- Experience 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 supporting 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
- Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field, or equivalent practical experience preferred
- Experience with Snowflake Cortex semantic views, Cortex Analyst, Cortex Agents, or comparable AI-enabled semantic-layer technologies preferred
- Experience creating evaluation datasets, verified query libraries, or validation frameworks preferred
- Experience with enterprise data catalogs, metadata management, lineage, and data-quality platforms preferred
- Experience using Python or a similar programming language and machine-readable formats such as YAML, including exposure to APIs or MCP-based integrations, preferred
- Exposure to controlled vocabularies, taxonomies, knowledge graphs, or ontologies useful
- Willingness and capability to leverage emerging technology, automation, and AI tools
- Successful completion of background verification
- Must meet applicable work authorization requirements for employment in the United States
Benefits
Comp & perks- Healthcare, dental, and vision insurance for employees and eligible dependents
- 401(k) retirement plan with a company match of 50% up to 12% of eligible compensation
- Generous PTO with a starting accrual of 22 days a year
- Paid holidays
- Volunteer time
- Wellness benefits
- Financial benefits
- Work/lifestyle-specific benefits
- Quality management and leadership development
- Career advancement opportunities