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Data Solutions Architect

Job in New Bremen, Auglaize County, Ohio, 45869, USA
Listing for: Insight Global
Full Time position
Listed on 2026-08-30
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 140000 - 180000 USD Yearly USD 140000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: New Bremen

Duration: Permanent/Direct Hire

About the Role

We're seeking a Senior Data Solutions Architect to join a newly established Enterprise Data Architecture team responsible for shaping the future of data, analytics, and AI across the organization.

This is a highly visible role operating within an internal consulting model
, partnering directly with business and technology leaders to design and deliver enterprise-scale data solutions. You'll help guide data strategy, architect modern platforms, and drive analytics initiatives across manufacturing, supply chain, finance, sales, and customer operations.

What We're Looking For

Key Responsibilities
  • Design enterprise data architectures, roadmaps, and solution blueprints.
  • Build scalable data models supporting analytics, BI, AI, and reporting initiatives.
  • Architect end-to-end data solutions including ingestion, integration, transformation, storage, and consumption layers.
  • Partner directly with business stakeholders to solve complex data challenges.
  • Lead integration efforts across ERP platforms including SAP and other enterprise systems.
  • Establish best practices around governance, security, metadata, and data quality.
  • Serve as a trusted advisor to teams across the organization.
Required Experience
  • 10+ years of Data Architecture, Data Engineering, or Analytics experience.
  • Expert-level Data Modeling experience.
  • Strong hands-on experience with:
  • SQL
  • Python
  • Spark
  • Experience working directly with stakeholders in a consulting, architecture, or advisory capacity.
Preferred Experience
  • Manufacturing or supply chain environment.
  • SAP, SAP S/4

    HANA, IFS, or other ERP platforms.
  • Azure-based data solutions.
  • Data governance, MDM, and analytics architecture.
  • AI
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