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# Manager, Data Architect

- **Company:** KraftHeinz
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $120,800.0 - $151,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Agile Methodology, Artificial Intelligence, ARM Architecture, Encodings, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Metadata, SAP (Applications), Data Ingestion, Large Language Models, Snowflake, Pandas, Build Management, Atlassian Tools
- **Published:** September 4, 2026
- **Apply:** https://www.dice.com/job-detail/009db2ea-c053-44cf-84ca-00c7ed7d2f1f

## About the Role

* I have years of relevant experience in design and implementation of scalable, high-performance, and reusable data models that help in generating actionable insights.
 * I have a strong background in data warehouse / lakehouse implementation
 * I have experience in designing data models (Logical, Physical, Conceptual ERD) using data modeling tools (ERWIN, ER/STUDIO, etc.).
 * I have the ability to explain complex technical concepts clearly to non-technical executive stakeholders.
 * I have a demonstrated ability to translate business requirements into technical solutions driving data architecture and Data Product design.
 * I have experience with enterprise-scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, great expectations, etc.).
 * I have experience designing semantic models/Semantic Views for BI/AI data requirements, and familiarity with Snowflake Cortex (Cortex Analyst, Cortex Search, Cortex Agents) or comparable conversational-AI/agent platforms
 * I have an understanding of what it takes to make data "AI-ready"-data quality, metadata, governance, and access patterns suited to LLM, ML, and agentic consumption
 * I have knowledge of Agile methodologies with experience working on tools such as Jira & Confluence.
 * I have a growing understanding of business processes and functional understanding of ERP tools like SAP, OTM, O9, OMP etc. with an analytical background.

## Description

* Execute the organization's Data Architecture Strategy, data lifecycle framework, and standards-covering data ingestion, modelling, security, consumption, storage and retention-for the Supply Chain function, in partnership with the Data Architecture Leads
 * Lead the design of source and insight data products, global data models and semantic models, ensuring optimal performance for BI, AI and conversational analytics
 * Design and build Snowflake Semantic Views that encode governed business metrics, dimensions, and relationships, giving BI tools and AI agents a single, trusted definition of the truth
 * Partner with Data Engineering to curate AI-ready data products-trusted, well-documented, quality-assured data suited for consumption by GenAI, ML, and agentic applications-and help define what "AI-ready" means for the Supply Chain domain
 * Design and configure Cortex Agents (orchestrating Cortex Analyst over Semantic Views, and Cortex Search over unstructured content) to power conversational and agentic analytics for Supply Chain stakeholders
 * Work with business stakeholders, product owners, functional leads and cross-functional chapters to design and develop data products and solutions within the North America Supply Chain function, supporting analytical and decision intelligence use cases across a large variety of internal and external data sources
 * Translate business requirements into scalable, high-performance and reusable data models that can be efficiently utilized across different data initiatives and generate actionable insights
 * Design and implement comprehensive lakehouse architecture incorporating robust data access controls and security