Enterprise Data Architect (Manufacturing)

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AI Summary

As an Enterprise Data Architect, design data models and structures to support reporting, dashboards, and analytics use cases. This role requires expertise in data engineering, ERP systems, and cloud-based data platforms. The successful candidate should have a strong background in manufacturing and experience with analytics solutions.

Key Highlights
Design data models and structures
Implement metadata management and data cataloging solutions
Architect cloud-based data platforms
Key Responsibilities
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
Define and implement data governance frameworks
Technical Skills Required
SAP IFS Microsoft Azure AWS Google Cloud Platform Machine Learning AI
Benefits & Perks
Excellent wage
Remote work (not fully remote)
Health/Dental/Vision/Prescription Drug Plan
Flexible Benefits Plan
401K Retirement Savings Plan
Life and Disability Benefits
Paid Parental Leave
Paid Holidays
Paid Vacation
Tuition Reimbursement
Nice to Have
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

Job Description


Location:

New Bremen, OH, US, 45869

Company Description

Crown Equipment Corporation is a leading innovator in world-class forklift and material handling equipment and technology. As one of the world’s largest lift truck manufacturers, we are committed to providing the customer with the safest, most efficient and ergonomic lift truck possible to lower their total cost of ownership.

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.

Work Authorization

Crown will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship for work authorization now or in the future, are not eligible for hire.

No agency calls please.

Compensation And Benefits

Crown offers an excellent wage and benefits package for full-time employees including Health/Dental/Vision/Prescription Drug Plan, Flexible Benefits Plan, 401K Retirement Savings Plan, Life and Disability Benefits, Paid Parental Leave, Paid Holidays, Paid Vacation, Tuition Reimbursement, and much more.

EOE Veterans/Disabilities

Nearest Major Market: Lima

Nearest Secondary Market: Findlay

Job Segment: SAP, Solution Architect, Supply Chain, Business Intelligence, ERP, Technology, Operations

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