Principal Engineer, Business Intelligence

Great Lakes Cheese; Hiram (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Great Lakes Cheese is seeking a Principal Engineer, Business Intelligence to lead the BI roadmap with stakeholders and senior leadership. You will govern dashboards (Business Objects/SAC) and ensure data security, while designing ETL pipelines across complex sources.

The role requires hands-on expertise in SAP BW/4HANA, ECC/S/4HANA data modeling, and mentorship of junior staff. With a focus on Go-Live readiness and system upgrades, you will drive performance improvements, data accuracy, and

Qualifications

• Requires 6 years of SAP BW/BI architecture experience.
• Extensive SAP data warehousing knowledge incl Eclipse modeling, ADSO, composite providers, BW to BW/4HANA migration.
• Leads full lifecycle BI projects: strategy, design, deployment, governance.
• Experience with SAP ECC/S/4HANA data extraction and modeling for reporting.
• Proficient in SQL and Python for data analysis.
• Experience with Go-Live and cutover activities.

Responsibilities

• Lead BI roadmap sessions with business stakeholders and senior leadership to align with objectives.
• Govern design of dashboards (Business Objects/SAC) for executive decision making.
• Own security model and governance for the Business Objects environment.
• Design, develop, and optimize ETL/ELT pipelines across source systems.
• Develop solutions for data flow migration and performance tuning across BW landscapes.
• Mentor junior analysts and engineers; create self-service BI training.

Skills

SAP BW/BI

ETL/ELT

Data modeling

SQL

Python

Go-Live

SAP HANA

Data governance

Architecture

Education

Bachelor's degree in Engineering or Data Science

Tools

Business Objects

SAC

SAP BW/4HANA

Eclipse modeling

ADSOs

Composite Providers

Job description

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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