Enterprise Data & AI Solutions Architect
Listed on 2026-09-23
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IT/Tech
Data Engineering, Data Warehousing, Data Analyst
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Date: Sep 8, 2026
Location: Wickliffe, OH, US,
Shape the Future with Us.
At Lubrizol, we're bringing to life the chemistry behind clean water, efficient transportation, reliable infrastructure, critical medicines, and the products people rely on every day through science, sustainability, and a culture of inclusion.
As part of our global team, you'll be empowered to make a real impact - on your career, your community, and the world around you.
Location:Wickliffe, OH
Job Type:Full-time, Hybrid
- Collaborate in office 4 days each week, with 1 flexible day
As an Enterprise Data & AI Solutions Architect supporting ourData Intelligence team, you'll be at the forefront of our innovation, driving enterprise data architecture, analytics, integration, and AI-enabled initiatives that strengthen business performance across the organization. You'll 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.
Required Qualifications that Enable Your SuccessBachelor’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 ForwardUnderstanding 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/4
HANA, 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…
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