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ABOUT US (AND OUR EXCITING FUTURE)
Menasha Corporation is all about possibilities. Our two businesses, Menasha Packaging and ORBIS Corporation, are leaders in their industries, providing corrugated and plastic packaging products and related services to major global companies.
Our employees make the difference, proving that great ideas, collaboration and quality turn possibilities into success. Working at Menasha Corporation means that your insights provide cutting-edge solutions for our customers. If you like to make things happen and are passionate about what you do, you’re going to want to be here.
Join us and become part of the power behind possible.
About The Opportunity
We are seeking an experienced AWS BI Solution Architect with strong SAP expertise to lead and evolve our established AWS-based analytics platform. This role will serve as the technical leader of our enterprise BI architecture, driving continuous improvement, scalability, performance optimization, governance, and innovation.Job Title: AWS BI Solution Architect
Location: Onsite – Neenah, WI (preferred) or Oconomowoc, WI
Reports To: IT Senior Director - Data & Analytics
Position Overview
We are seeking an experienced AWS BI Solution Architect with strong SAP expertise to lead and evolve our established AWS-based analytics platform. This role will serve as the technical leader of our enterprise BI architecture, driving continuous improvement, scalability, performance optimization, governance, and innovation.
Our AWS data platform has been established, and the current focus is on increasing data ingestion from SAP (ECC and S/4) and other non-SAP systems for enterprise reporting. The next phase requires strong architectural leadership to enhance integration, improve data modeling standards, optimize cost and performance, and expand advanced analytics capabilities.
This is a high-impact leadership role with visibility across the organization.
Architect solutions while remaining hands-on in design reviews, SQL development, and pipeline troubleshooting.
Lead by example in writing performant queries and optimizing ETL jobs.
Mentor data engineers and BI developers through code reviews and architectural guidance.
Establish engineering standards and development best practices.
Coach team members on dimensional modeling and data structures.
Lead ingestion for SAP data (ECC and S/4HANA).
Lead integration of additional enterprise systems and flat files into AWS.
Define full load vs. incremental load standards.
Establish monitoring and alerting for pipeline reliability.
Reduce ingestion latency where appropriate.
Own and enhance AWS architecture leveraging appropriate AWS Services
Optimize Glue jobs and ETL frameworks.
Improve S3 lifecycle and storage tiering strategies.
Implement cost optimization strategies across compute and storage.
Drive performance benchmarking and continuous improvement.
Lead enterprise dimensional modeling standards.
Improve semantic layers and curated data marts.
Position platform for advanced analytics and AI/ML readiness.
Strengthen IAM, row-level security, and data access controls.
Implement data quality monitoring frameworks.
Document lineage and data definitions.
Define SLAs and reliability metrics.
Ensure compliance with enterprise security policies.
8+ years in data architecture, BI, or data engineering roles.
5+ years hands-on experience designing AWS data platforms.
SAP data expertise (ECC and/or S/4HANA).
Proven experience with SAP data ingestion into a cloud warehouse.
Strong experience with:
AWS Glue ETL frameworks
S3 data lake architecture
Advanced SQL and dimensional modeling expertise.
Experience leading technical teams while remaining hands-on.
AWS Solutions Architect Certification.
Experience with SAP SLT, ODP, CDS views, or SAP BW.
Experience with Infrastructure as Code (Terraform, CloudFormation).
SAP and enterprise data ingestion pipelines run reliably with defined SLAs.
AWS BI platform performance and cost efficiency improve measurably.
Platform stability increases while technical debt decreases.
Engineering standards elevate team capability.
Business stakeholders trust and actively use analytics outputs.
The AWS BI platform is scalable and positioned for future innovation.
Architect mindset with engineer execution capability.
Comfortable rolling up sleeves to solve complex data problems.
Strong communicator who can translate business needs into technical solutions.
Naturally accountable and ownership-driven.
Passionate about building scalable, governed data ecosystems
Two companies, one vision.
Menasha Corporation consists of two companies that are leading the way to a sustainable future with packaging and supply chain solutions. Founded in 1849 and headquartered in Neenah, Wisconsin, we employ over 7,500 employees in 112 facilities in North America and Europe.
Our companies are leading corrugated and plastic packaging manufacturers and supply chain solution providers. Our Menasha Packaging Company is the largest independent provider of packaging and supply chain service solutions in North America, designing, printing, and fulfilling graphic packaging, display and merchandising solutions for over 1,800 brands, both in-store and online.
Our ORBIS business believes there is a better way to optimize today’s supply chains, with reusable packaging products and services. Reusable containers, pallets, dunnage, bulk systems and metal racks improve the flow product all along the supply chain to reduce costs, enhance profitability and add sustainability.
Our products and services are used by global, name-brand companies in the food, beverage, health and beauty, over-the-counter pharmaceutical, industrial, automotive, and electronics industries.
Come build an exciting, rewarding career with us, where you’ll have opportunities to grow.
The possibilities are endless. The power is yours!
Menasha Corporation and its subsidiaries and affiliates are equal opportunity employers. All qualified applicants will be provided with equal employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability status, or genetic information.