Principal Engineer, Business Intelligence

Great Lakes Cheese in; Hiram Township (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

Great Lakes Cheese Co. Inc. in Ohio seeks a Principal Engineer, BI (Finance) to lead architecture, governance, and strategic BI initiatives across SAP BW/4HANA and SAP Analytics Cloud.

You will design complex data pipelines, mentor junior analysts, and partner with executives to align BI roadmap with corporate goals.

Qualifications

• Bachelor's degree in Engineering, Data Science, or related field.
• 6 years of experience architecting and implementing large-scale SAP BW/BI solutions in a corporate environment.
• 3 years of experience with SAP ECC/S/4HANA data extraction, transformation and modeling for strategic reporting purposes.
• 3+ years of data analysis using SQL or Python; 1 year of SAP BW/4HANA Go-Live and upgrade activities.

Responsibilities

• Lead strategic requirement gathering and solution design with business stakeholders and senior leadership.
• Govern the design of complex data visualizations and dashboards for executive decision-making.
• Own security model and governance for SAP BI environments; ensure data integrity.
• Design, develop, and optimize ETL/ELT pipelines across heterogeneous sources.
• Mentor junior analysts and engineers; develop training to enable self-service BI adoption.

Skills

SQL

Python

BI architecture

Education

Bachelor's degree in Engineering/Data Science

Tools

SAP BW/4HANA

SAP ECC/S/4HANA

SAP Business Objects

SAP Analytics Cloud

Azure

AWS

Job description

Principal Engineer, Business Intelligence (Finance)

Job Responsibilities

Position: Principal Engineer, Business Intelligence, Great Lakes Cheese Co. Inc., 17955 Great Lakes Parkway, Hiram, OH 44234

Duties: Lead strategic requirement gathering and solution architecture sessions with business stakeholders and senior leadership to strategically develop the BI roadmap and ensure alignment with corporate objectives. Govern the design of cutting-edge, complex data visualizations and dashboards (e.g., using Business Objects/SAC) to enable executive decision-making and provide a strategic view of business performance. Own and manage the security model and governance framework for the Business Objects environment, ensuring data integrity and adherence to organizational policies. Design, develop, and optimize advanced ETL/ELT data pipelines across complex, heterogeneous source systems. Develop solutions for modern data flow migration and performance tuning across various BW landscapes. Proactively assess and lead initiatives for continuous improvement, setting standards for data loading efficiencies and overall environment optimization to ensure scalability and high availability. Ability to perform cutover and administrative activities on SAP BW application during Go-Live and System upgrades. Serve as a subject matter expert (SME) in BI systems, independently analyzing the strategic impact of major application releases (e.g., SAP upgrades) and developing comprehensive mitigation and adoption strategies for the corporation. Mentor and provide technical leadership to junior analysts and engineers, and develop comprehensive training programs that drive enterprise-wide self-service BI adoption.

Requirements: Bachelor's degree in Engineering, Data Science, or a closely related field. Must have: 6 years of experience in architecting and implementing large-scale SAP BW/BI solutions within a corporate environment; 6 years of experience with SAP data warehousing concepts, including advanced proficiency in Eclipse modeling, ADSO, Composite Providers, and the migration of data flows (e.g., BW to BW/4HANA readiness); 6 years of experience leading the full lifecycle of complex BI projects, including strategic planning, detailed design, deployment, and post-implementation governance; 3 years of experience with SAP ECC/S/4HANA functional modules, specifically in the context of extracting, transforming, and modeling data for strategic reporting purposes; 3 years of experience in data analysis using native SQL or Python; 3 years of experience in System administration and Upgrade activities and Pre and Post Cutover activities; 1 year of experience using HANA, SAP Cloud Platform, Data Intelligence, and Data Science statistical models; 1 year of experience leading full lifecycle BW/4HANA implementation projects; 1 year experience leading major cloud migration initiatives (e.g., to SAP Analytics Cloud, Azure, or AWS).

Great Lakes Cheese is an Equal Opportunity Employer - Protected Veterans/Individuals with Disabilities.

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