Senior Semantic Data Engineer — AI-Driven Data Layer

Prologis

Dallas (TX)

In loco

USD 104.000 - 144.000

Tempo pieno

37 ore fa

Candidati tra i primi

Generatore di candidature

Una candidatura su misura per questa offerta di lavoro — un curriculum e una lettera di presentazione personalizzati, perfettamente in linea con l'annuncio.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Health insurance

401(k) with match

Generous PTO 22 days

Descrizione del lavoro

Prologis is seeking a Senior Semantic Data Engineer to join the Data Solutions team. You will design and deliver trusted Snowflake data products, build the semantic layer, and implement Cortex-based AI-enabled data solutions across business domains.

You will collaborate with business leaders and domain experts to translate concepts into production data products, ensuring data quality, security, and scalability while advancing AI-driven analytics, natural-language access, and enterprise search

Competenze

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.

Mansioni

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.