Engineer, Data

Staff Data Engineer

At Independent Purchasing Cooperative (IPC), we are more than just a supply chain services provider—we're the strategic sourcing partner behind one of the world's most recognized brands:
Subway®. As a member-owned organization, we are driven by our commitment to serve the franchisees who own and operate Subway® restaurants across North America, Canada, Puerto Rico, and the U.S. Virgin Islands.

Headquartered in Miami, FL, we were founded in 1996 with a mission to help franchisees be more profitable and competitive by delivering exceptional value through supply chain solutions, contract negotiation, technology initiatives, and industry expertise.

IPC is seeking a highly motivated Staff Data Engineer to be responsible for bringing agentic and AI-assisted workflows into IPC's data engineering practice, and for the hands-on design, delivery, and support of the data platforms behind supply chain operations serving approximately 21,000 Subway restaurants throughout Canada, the United States, and Latin America. This role designs, evaluates, and product ionizes AI-assisted workflows across the data lifecycle, establishes the guardrails and evaluation standards that govern their use, and raises the capability of the wider data engineering team so those practices become a durable part of how work gets done.

The role also carries hands-on delivery across two strategic platform initiatives, Microsoft Fabric and Palantir Foundry, and defines how data, lineage, and governance move consistently between them. In this role, you are expected to operate as a technical leader, influencing outcomes through design, code review, mentorship, and enablement across the data engineering team, reporting to the Director of Information and Data Services.

Essential Duties and Responsibilities

The essential duties and responsibilities, knowledge, skills, and abilities listed below are required to be successful in this position. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

• Design, prototype, and product ionize agentic and AI-assisted workflows that improve data engineering throughput, quality, and cycle time.
• Establish evaluation methods and success criteria for AI-assisted workflows, so their impact can be measured.
• Define technical guardrails for AI tooling that touches organizational data, including human review checkpoints, access boundaries, audit logging, and rollback paths.
• Serve as the technical authority and internal enablement lead for applied AI within the data engineering team.
• Deliver hands-on engineering across Microsoft Fabric and Palantir Foundry initiatives, including ingestion, transformation, semantic modeling, and orchestration.
• Partner with Security, Compliance, and Data Governance to keep AI-assisted workflows within policy for data classification, access control, retention, and auditability.
• Define how workloads, lineage, and governance are divided and reconciled between Microsoft Fabric and Palantir Foundry.
• Provide technical design review, code review, and mentorship that raises engineering standards across the data engineering team.
• All other duties as reasonably assigned.

Knowledge, Skills, and Abilities

Agentic & AI-Assisted Engineering

• Design and implement agentic workflows for pipeline scaffolding, schema and data contract validation, test generation, documentation, and incident triage.
• Build retrieval, structured extraction, and tool-using patterns against governed enterprise data sources.
• Maintain reference implementations, tooling libraries, and reusable templates that other engineers can extend without direct support.

AI Guardrails & Data Governance

• Define human-in-the-loop checkpoints, blast-radius limits, and rollback procedures for workflows with write access to production systems.
• Establish data access boundaries, classification handling, and audit logging standards for AI tooling.
• Apply data quality checks, lineage capture, and monitoring to AI-generated and AI-assisted outputs.
• Ensure compliance with applicable privacy, security, and data retention requirements across multiple international…