Sr Data Solutions Architect

Job Posting External

Primary Responsibilities

• Design data models and structures that support efficient reporting, dashboards, and analytics use cases.
• Create semantic layers and data marts optimized for business intelligence consumption.
• Architect solutions that enable self-service analytics while maintaining governance and security.
• Design infrastructure to support advanced analytics, machine learning, and AI initiatives.
• Implement metadata management and data cataloging solutions to improve data discoverability.
• Design and architect end-to-end data solutions including data ingestion, storage, processing, integration, and consumption layers.
• Develop comprehensive data architecture blueprints and technical roadmaps aligned with business strategy and analytics requirements.
• Create reference architectures for data platforms supporting analytics, reporting, and operational use cases.
• Design solutions that ensure data quality, security, privacy, compliance, and governance across enterprise.
• Architect data integration solutions across SAP, IFS, BAAN, Quipware and other enterprise applications to create unified data assets.
• Design and implement data extraction, transformation, and loading (ETL/ELT) processes from multiple ERP sources.
• Develop master data management strategies to ensure data consistency across disparate systems.
• Create integration patterns for real-time and batch data synchronization between source systems and data platforms.
• Ensure seamless data flow across manufacturing, supply chain, finance, sales, and customer service domains.
• Address data quality, reconciliation, and harmonization challenges across heterogeneous systems.
• Define and implement data governance frameworks including data lineage, metadata management, and data quality rules.
• Ensure solutions comply with regulatory requirements and industry standards (GDPR, SOX, etc.).
• Design security architecture including role-based access control, data masking, and audit logging.
• Establish data retention, archival, and lifecycle management policies.

Minimum Qualifications

• Bachelor’s degree in Engineering, Science, Information Systems, Finance or related field with at least 8 years of related experience
• Non-degree considered if 12+ years of related experience along with a high school diploma or GED
• Occassional travel (0-5%)

Preferred Qualifications

• 8+ years of experience on delivering analytics solution in manufacturing / services industry and in data architecture, data engineering, or related roles with increasing responsibility.
• 5+ years of hands-on experience designing and implementing enterprise data solutions.
• Extensive experience with ERP systems, particularly SAP (SAP ECC, S/4HANA) and/or IFS.
• Proven track record architecting cloud-based data platforms, preferably on Microsoft Azure.
• Experience in manufacturing, supply chain, or industrial environments
• Demonstrate success delivering large-scale data integration and migration projects.
• Experience with additional cloud platforms (AWS, Google Cloud Platform).
• Certifications such as Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, or similar.
• Knowledge of SAP BW/4HANA, SAP Data Services, or SAP Data Intelligence. Experience with IoT data platforms and manufacturing operational technology (OT) systems. Understanding of Industry 4.0, IIoT, and smart manufacturing concepts.

Must live within a reasonable commute of the New Bremen, OH location.  Relocation assistance provided.