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# Data & Solutions Architect

- **Company:** Honda of America Mfg., Inc.
- **Location:** Marysville, OH, United States
- **Experience:** Expert
- **Salary:** $150,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, Metadata, SQL Databases, Data Streaming, UML, Data Management, Data Pipelines, Microservices
- **Published:** September 19, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2977291150-2

## About the Role

* Enterprise architecture design
 * Data modeling (relational, dimensional, No
 * SQL)
 * Cloud platforms (AWS, Azure, or GCP)
 * Data integration and ETL/ELT tools
 * API and microservices architecture
 * SQL and modern data warehousing
 * Streaming and batch data pipelines
 * Security and governance for data platforms
 * Architectural documentation and modeling (e.g., UML, Archi
 * Mate)
 * Stakeholder communication and technical leadership

## Description

American Honda Motor Co., Inc. seeks a Data and Solution Architect to design and lead enterprise architectures supporting manufacturing, sales, and service operations. In this innovation-driven, quality-focused environment, you will define data models, integration patterns, and API strategies across cloud and on-prem platforms, enabling analytics, IoT, and advanced mobility solutions. Partnering with diverse teams, you'll set architecture standards, guide implementation, and ensure security, performance, and reliability, while mentoring others and contributing to continuous improvement and sustainable, safe, customer-centric mobility., * Design and own data and solution architectures supporting manufacturing, sales, and service operations

 * Translate business and manufacturing requirements into scalable cloud and on-prem solutions
 * Define data models, integration patterns, and API strategies across enterprise platforms
 * Partner with product, engineering, and operations teams to deliver secure, reliable solutions
 * Establish architecture standards, guardrails, and best practices for data platforms and services
 * Lead evaluations of new technologies and tools to support analytics, Io
 * T, and advanced mobility
 * Guide implementation teams, perform design reviews, and ensure architectural compliance
 * Optimize performance, reliability, and security of data pipelines and applications
 * Support governance for data quality, metadata, and master data management
 * Mentor engineers and analysts in modern architecture and data engineering practices


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