Hybrid Enterprise Data & AI Architect

Lubrizol Corporation; Wickliffe (OH); Hybrid; USD 140,000 - 200,000; Full time

Benefits offered by this job

Bonus plan

401(k) match

HSA

Paid holidays

Flexible work

Learning & development

Career growth

Inclusive culture

Job summary

Lubrizol Corporation seeks an Enterprise Data & AI Solutions Architect to lead data architecture, analytics, integration, and governance across the organization in a hybrid work setting. You will guide ETL/ELT, data platforms, and AI-enabled initiatives, collaborating with diverse teams to deliver scalable, data-driven solutions.

With 10+ years in data/enterprise architecture and strong Microsoft data tech experience, you will shape the enterprise data strategy and modernization efforts across

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or 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.

Responsibilities

• 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, ETL/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, AI/ML, BI and data ingestion initiatives through modern data platforms.
• Co-develop long-term technology strategies and innovation roadmaps across analytics, data engineering, and enterprise data platforms.

Skills

Analytical thinking

Communication skills

Stakeholder management

Cross-functional leadership

Problem solving

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field

Tools

Azure Synapse

Azure Data Factory

AI Foundry

Microsoft Fabric

Power BI

SAP Datasphere

SAP Data Services

Job description

Lubrizol Corporation seeks an Enterprise Data & AI Solutions Architect to lead data architecture, analytics, integration, and governance across the organization in a hybrid work setting. You will guide ETL/ELT, data platforms, and AI-enabled initiatives, collaborating with diverse teams to deliver scalable, data-driven solutions.

With 10+ years in data/enterprise architecture and strong Microsoft data tech experience, you will shape the enterprise data strategy and modernization efforts across