Hybrid Data & AI Solutions Architect for Enterprise Impact

Lubrizol IMEA; Wickliffe (OH); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Performance-based bonus

401(k) match

Medical, dental & vision

HSA

Paid holidays & leave

Flexible work environment

Learning & development

Career growth

Inclusive culture

Job summary

Lubrizol Corporation is seeking an Enterprise Data & AI Solutions Architect in Wickliffe, OH to lead enterprise data architecture and AI-enabled initiatives. You will collaborate with business stakeholders to deliver scalable data platforms, analytics and governance across the organization.

You will evaluate Microsoft, SAP, and cloud-native technologies, guiding ETL/ELT, data lakes and warehouses while driving governance and data quality initiatives.

Qualifications

• Bachelor’s or Master’s degree in CS, IS, or data engineering.
• 10+ years of data architecture, engineering, or enterprise architecture experience.
• Experience as a Solutions Architect focused on end-to-end solutions & systems integration.

Responsibilities

• Translate business requirements into scalable data solutions aligned with enterprise data strategy.
• Design end-to-end, data movement, analytics, and systems integration-focused solutions.
• Lead design sessions and review specs to ensure alignment with governance and data-by-design.
• Evaluate tools for analytics, AI, data governance, and data modeling.
• Provide architectural leadership for ETL/ELT, data warehouses, lakes, and analytics capabilities.
• Assess new Microsoft, SAP, and cloud-native technologies and run PoCs.

Skills

Data architecture

Data engineering

Enterprise architecture

Solutions Architect

Azure Synapse

Azure Data Factory

Power BI

Data governance

MDM

ETL/ELT

Education

Bachelor’s or Master’s degree in CS/IS/Data Engineering

Tools

SAP Datasphere

Microsoft Fabric

Azure Data Factory

Job description

Lubrizol Corporation is seeking an Enterprise Data & AI Solutions Architect in Wickliffe, OH to lead enterprise data architecture and AI-enabled initiatives. You will collaborate with business stakeholders to deliver scalable data platforms, analytics and governance across the organization.

You will evaluate Microsoft, SAP, and cloud-native technologies, guiding ETL/ELT, data lakes and warehouses while driving governance and data quality initiatives.