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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data & AI Solutions Architect - **Company:** The Lubrizol Corporation - **Location:** Wickliffe, OH, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Microsoft Online Services, Information Systems, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Design, Data Intelligence, Microsoft Data Access Components, Meta-Data Management, Microsoft Software, Power BI, Requirements Management, SAP (Applications), SAP NetWeaver Business Warehouse, SAP NetWeaver Data Management, Systems Integration, Unstructured Data, Enterprise Data Management, Cloud Platform System, Data Ingestion, Azure Data Factory, Data Strategy, Togaf, Microsoft Fabric, Containerization, Data Lakes, Information Technology, Data Analytics, SAP S/4HANA, Data Management, Data Lakehouse, Azure Synapse Analytics - **Published:** October 27, 2026 - **Apply:** https://www.careerbuilder.com/job-details/enterprise-data-ai-solutions-architect-wickliffe-oh--7e74a9a5-2b7a-429f-a603-542057a73361 ## About the Role Artificial Intelligence (AI), Sustainability, Chemistry, Medical Products, Water Use Efficiency, Artificial Intelligence (AI), Enterprise Architecture, Architectural Analysis, Data Analysis, Requirements Management, * Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field. * 10+ years of experience in data architecture, data engineering, or enterprise architecture roles. * Proven experience as a Solutions Architect or similar role focused on end-to-end technical solutions and systems integration. * Strong understanding of solution architecture principles, methodologies, and best practices. * Experience in manufacturing, research and development (R&D), and/or process manufacturing environments. * Expertise with Microsoft data technologies including Azure Synapse, Azure Data Factory, AI Foundry, Microsoft Fabric, and Power BI. * Experience with cloud-based data platforms, preferably Microsoft Azure. * Experience with data lakehouse architectures and modern enterprise data platforms. * Familiarity with data governance frameworks, metadata management, and master data management (MDM). * Strong analytical, communication, stakeholder management, and cross-functional leadership skills. Preferred Qualifications that Drive You Forward * Understanding of artificial intelligence and machine learning data requirements and supporting infrastructure. * Knowledge of data security, regulatory compliance, and privacy frameworks such as General Data Protection Regulation (GDPR) and Health Insurance Portability and Accountability Act (HIPAA). * Hands-on experience with SAP ecosystems including SAP S/4HANA, SAP Datasphere, SAP Business Warehouse (BW), SAP Data Services, and SAP integration with Microsoft platforms. * Experience creating data modeling solutions leveraging SAP and Microsoft Azure data services, Microsoft Fabric, and Power BI. * Knowledge of conceptual, logical, and physical data modeling and database design. * TOGAF, DAMA, or related enterprise architecture or data management certifications. ## Description As an Enterprise Data & AI Solutions Architect supporting our Data Intelligence team, youll be at the forefront of our innovation, driving enterprise data architecture, analytics, integration, and AI-enabled initiatives that strengthen business performance across the organization. Youll collaborate with a diverse group of passionate individuals to deliver sustainable solutions to advance mobility, improve wellbeing, and enhance modern life. In this role, you will: * Collaborate with business stakeholders to translate business requirements into scalable technical solutions aligned with enterprise data strategy and architecture. * Design and develop end-to-end, business process-driven solutions with a strong focus on data movement, analytics, and systems integration. * Lead solution design sessions and review technical specifications to ensure alignment with business requirements, architectural principles, and reliable data-by-design practices. * Guide the evaluation, selection, and implementation of tools supporting analytics, artificial intelligence, data governance, and data modeling. * Enforce data governance, data quality, and security practices across structured and unstructured data assets. * Provide architectural leadership for data platforms, extract-transform-load (ETL) and extract-load-transform (ELT) processes, data warehouses, data lakes, and analytics capabilities. * Assess emerging Microsoft, SAP, and cloud-native technologies, conduct proof-of-concepts, and recommend solutions that enhance enterprise data capabilities. * Review existing solutions and identify opportunities for continuous improvement, scalability, optimization, and integration. * Enable analytics, reporting, artificial intelligence and machine learning, business intelligence, and advanced data ingestion initiatives through modern data platforms. * Co-develop long-term technology strategies and innovation roadmaps across analytics, data engineering, and enterprise data platforms.