Senior Data Architect — AI-Ready Data for Supply Chain

Kraft Heinz; Chicago (IL); On-site; USD 121,000 - 151,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) matching

BRGs

Total rewards package

Job summary

Kraft Heinz in Chicago seeks a Senior Manager, Data Architect to lead enterprise data architecture for North America Supply Chain, enabling data-driven, predictive decision-making across planning, logistics, and customer excellence.

You will design source and insight data products, build Snowflake semantic views, partner with Data Engineering on AI-ready data, and shape lakehouse architecture with strong governance.

Qualifications

• Experience designing scalable data models for large enterprises.
• Solid background in data warehouse or lakehouse implementations.
• Familiarity with Agile methodologies; Jira/Confluence.
• Ability to translate business requirements into technical data solutions.
• Knowledge of semantic models and BI/AI data requirements.

Responsibilities

• Execute the Data Architecture Strategy for Supply Chain data.
• Lead design of source/insight data products and global data models.
• Design Snowflake Semantic Views for governed metrics and relationships.
• Collaborate to curate AI-ready data products for GenAI/ML workloads.
• Configure Cortex Agents and Cortex Search for analytics.
• Work with stakeholders to develop data products supporting analytics across data sources.
• Translate requirements into scalable data models and reusable designs.
• Implement lakehouse architecture with robust data access controls.

Skills

Data architecture

Snowflake

Cortex

BI/AI

GenAI/ML

Data modeling

ELT tools (dbt, pandas)

Python libraries

Jira/Confluence

ERP knowledge (SAP, OTM, O9, OMP)

Tools

Snowflake Cortex

dbt

pandas

great expectations

Job description

Kraft Heinz in Chicago seeks a Senior Manager, Data Architect to lead enterprise data architecture for North America Supply Chain, enabling data-driven, predictive decision-making across planning, logistics, and customer excellence.

You will design source and insight data products, build Snowflake semantic views, partner with Data Engineering on AI-ready data, and shape lakehouse architecture with strong governance.