Sr Data Solutions Architect

Crown Equipment Corporation

New Bremen (OH)

On-site

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Health/Dental/Vision/Prescription Drug Plan
401K Retirement Savings Plan
Paid Vacation
Tuition Reimbursement

Job summary

A leading forklift manufacturer is seeking a Data Architect in New Bremen, OH. The role requires expertise in designing data models, implementing advanced analytics solutions, and understanding ERP systems, particularly SAP. Candidates should hold a bachelor's degree in a relevant field or possess equivalent experience. The company offers a competitive salary and benefits package, including health insurance and a 401K plan.

Qualifications

  • 8+ years of experience in data architecture, data engineering, or related fields.
  • 5+ years of hands-on experience with enterprise data solutions.
  • Knowledge of SAP BW/4HANA and Industry 4.0 concepts.

Responsibilities

  • Design data models and structures for reporting and analytics.
  • Create semantic layers and data marts optimized for business use.
  • Architect solutions to enable self-service analytics.

Skills

Data architecture
Business intelligence
SAP
Data integration
ETL/ELT processes
Cloud platforms
Data governance

Education

Bachelor’s degree in Engineering, Science, or Information Systems
High school diploma or GED with 12+ years of experience

Tools

Microsoft Azure
SAP ECC
IFS
AWS
Google Cloud Platform

Job description

Job Posting External

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.

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
  • Occasional 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

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

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