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American Sugar Refining, Inc. · 2 days ago

Supply Chain Data Architecture and Systems Engineer

West Palm Beach, FL

Full-time

Onsite

Senior Level

6+ years exp

American Sugar Refining, Inc. is the world’s largest refiner and marketer of cane sugar, focusing on managing supply chain complexity through innovative improvements. The Data and Systems Engineer will design and maintain data architecture for supply chain systems, enforce data governance standards, and collaborate with business and IT to support data-driven decision-making.

AgricultureFood and Beverage

Responsibilities

Design, maintain, and execute to the 3-year vision for the data architecture of supply chain data systems, ensuring scalability, integration, and alignment with business needs

Define data models and structures that support decision support tools, supply chain systems, scenario modeling, and optimization

Establish and enforce data governance standards, including definitions, lineage, and access protocols

Maintain the Global Supply Chain (GSC) data catalog and ensure consistency across metrics and datasets

Translate business requirements into technical specifications and Business Requirement Documents (BRD)

Work with operations and other business functions on identifying and using data cross functional reports

Partner with IT to implement and troubleshoot data systems, pilot new solutions, and ensure system reliability

Support analysts and project teams by ensuring data infrastructure enables reusable models and scalable analytics

Work with GSC project teams to ensure right data inputs and exports are used for supply chain systems

Collaborate with Strategy Team to align tools and systems with strategic priorities

Responsible for the design of enterprise dashboards that help monitor how processes are running

Support KPI ownership and reporting logic validation

Develop interactive Enterprise dashboards and reports using Power BI Desktop

Present trends, patterns, and key insights in a visually compelling and user-friendly format

Design and build data models aligned with business requirements

Use DAX and Power Query to convert enterprise data into meaningful visualizations

Connect to various data sources using SQL, HANA, Datasphere, DI and/or Power Query

Ensure high performance and reliability of data pipelines

Work with SMEs to understand complex datasets for next-generation data products

Communicate complex insights clearly to non-technical audiences

Collaborate with technical teams and business stakeholders to meet reporting and supply chain system needs

Ensure data accuracy, consistency, and reliability across all dashboards

Troubleshoot Power BI solutions, including performance tuning and data refresh issues

Provide after-hours support for critical bugs as needed

Stay current with Power BI, Fabric and DataSphere features, best practices, and industry trends in data analytics

Qualification

Data ArchitecturePower BISQLData ModelingSAP S4 HANADAXPower QueryProactive InnovatorClear CommunicationDocumentation Skills

Required

6–10 of experience in data-related fields or an advanced degree with 3 years of experience

3 years as a data analyst or data engineer

Proficiency in BI tools, SAP S4 HANA, and cloud-based platforms

Strong data modeling and storytelling skills

Proficiency in Power BI, SQL, DAX, and Power Query

Experience integrating Power BI

Strong documentation and training skills

Bachelor's degree in Business, Supply Chain, Finance, Economics, Computer Science or business-related discipline from a university with a strong academic reputation

Clear communicator with ability to simplify complex ideas

Comfortable navigating both technical and business environments

Fast learner and proactive innovator