Data/Information Architect

Description

We are looking for a Data/Information Architect to help unify complex operational data within a wholesale distribution environment in Hartland, Wisconsin. This Long-term Contract position will lead the design of a scalable data architecture that brings together information from fleet activity, maintenance operations, service records, parts, and warranty sources to support timely, informed business decisions. The role centers on building a trusted data foundation, improving visibility into performance and cost trends, and enabling future-ready analytics capabilities across the organization.

Responsibilities:
Architect a centralized data framework that consolidates information from vehicles, service operations, parts activity, maintenance platforms, and warranty-related sources.
Develop and manage integrations between internal and external systems using APIs and data connectivity solutions to ensure reliable data movement into Microsoft-based analytics environments.
Create automated workflows for warranty validation and claims analysis, reducing reliance on manual review and improving process consistency at scale.
Design and deliver Power BI and Microsoft Fabric reporting solutions that provide actionable insight into fleet performance, service efficiency, warranty patterns, and operational metrics.
Analyze distributed operational data to identify recurring equipment issues, cost leakage, downtime drivers, and opportunities to improve asset utilization.
Establish data governance practices, including standards for quality, consistency, structure, and stewardship across interconnected data sources.
Partner with business and technical stakeholders to define architecture priorities that support real-time visibility and long-term analytical maturity.
Serve as a technical leader in modernizing fragmented data processes by building scalable, AI-ready data capabilities across the business.

Requirements

5+ years of experience in data architecture, data engineering, or information architecture roles.
Strong hands-on expertise with Microsoft Power BI and Microsoft Fabric for data modeling, analytics, and reporting.
Proven experience designing data architecture for complex, multi-source operational environments.
Advanced SQL skills with the ability to write, optimize, and troubleshoot queries across large datasets.
Experience building and supporting API-based integrations, including work with API development concepts and API gateways.
Solid understanding of data fabric principles, data governance, and enterprise data quality practices.
Ability to translate operational business needs into scalable technical solutions and clear reporting outcomes.

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