Staff Data Architect

The Kraft Heinz Company•Chicago, IL
•$120,800 - $151,000•Onsite

About The Position

Execute the enterprise data architecture strategy that powers the North America Supply Chain's transition to data-driven, predictive decision-making, spanning planning, logistics execution, and customer excellence. You will be successful by building a unified, resilient data foundation that reduces time-to-insight and supports supply chain agility, directly advancing Kraft Heinz's broader goals of operational excellence, cost efficiency, and growth through digital transformation.

Requirements

  • Years of relevant experience in design and implementation of scalable, high-performance, and reusable data models that help in generating actionable insights.
  • Strong background in data warehouse / lakehouse implementation
  • Experience in designing data models (Logical, Physical, Conceptual ERD) using data modeling tools (ERWIN, ER/STUDIO, etc.).
  • Ability to explain complex technical concepts clearly to non-technical executive stakeholders.
  • Demonstrated ability to translate business requirements into technical solutions driving data architecture and Data Product design.
  • Experience with enterprise-scale data engineering orchestration frameworks/ELT tools and common data engineering Python libraries (dbt, pandas, great expectations, etc.).
  • 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
  • Understanding of what it takes to make data “AI-ready”—data quality, metadata, governance, and access patterns suited to LLM, ML, and agentic consumption
  • Knowledge of Agile methodologies with experience working on tools such as Jira & Confluence.
  • Growing understanding of business processes and functional understanding of ERP tools like SAP, OTM, O9, OMP etc. with an analytical background.

Responsibilities

  • 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

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 7% 401(k) matching
  • Business Resource Groups (BRGs)
  • High discretionary bonus
  • Performance-based bonus
  • Affordable access to healthcare
  • Protection and saving for the future
  • Events, resources, and learning opportunities that inspire a physical, social, emotional, and financial well-being lifestyle
  • Paid Time Off
  • Company Holidays
  • Leave of Absence
  • Flexible Work Arrangements
  • Recognition
  • Training
  • Employee Assistance Program
  • Wellbeing Programs
  • Family Support Programs
  • Life insurance
  • Accidental Death & Dismemberment insurance
  • Disability insurance
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