Role Overview
Lincoln Electric is a high-performance industrial machinery and technology leader who helps customers manufacture and maintain vital equipment and infrastructure. The Company operates 71 manufacturing and automation facilities across 20 countries and serves customers in over 160 countries. The Manager, Analytics and Data Platform will oversee a team responsible for both legacy and modern enterprise data platforms, driving the organization’s data modernization strategy.
What You Will Do
The ideal candidate combines strong people leadership with deep technical knowledge of enterprise data platforms, data engineering practices, and cloud-based analytics environments. This manager will be responsible for operational excellence across the data platform, including data pipeline reliability, platform monitoring, health checks, standards enforcement, cost management, governance, and continuous improvement initiatives.
Why It Might Be a Fit
The role requires an individual who can balance the support of legacy SAP BW solutions while accelerating adoption and optimization of Microsoft Fabric, Azure Data Factory, and Medallion Architecture principles. This position offers the chance to build and improve an accelerating deployment.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related discipline
- 8+ years of experience in data engineering, business intelligence, or enterprise analytics environments
- 5-7 years of people leadership experience managing technical teams
- Experience implementing or supporting Medallion Architecture concepts, including Bronze and Silver layers
- Strong communication and stakeholder management skills
Benefits
- Competitive base salary with bonus potential
- Comprehensive benefits package (health, retirement, paid time off)
- Clear growth path within data engineering and analytics
- Collaborative culture with strong leadership support for data-driven decision making
To apply for this job please visit jobs.lincolnelectric.com.

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