Manager, Analytics and Data Platform

Lincoln Electric; Cleveland (OH); On-site; USD 142,000 - 177,000; Full time

Benefits offered by this job

Competitive base salary

Bonus potential

Comprehensive benefits

Job summary

Lincoln Electric, a global leader in welding and engineered solutions, seeks a Manager of Analytics and Data Platform to guide a team of Data Engineers supporting SAP BW and Microsoft Fabric. The role focuses on data modernization, governance, and cost management across BI and analytics use cases in manufacturing, supply chain, and operations.

The ideal candidate has strong leadership and deep technical knowledge of enterprise data platforms, cloud analytics, and Medallion Architecture

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Analytics, or related discipline.
• 8+ years of experience in data engineering, BI, or analytics environments.
• 5-7 years of people leadership experience managing technical teams.

Responsibilities

• Establish performance expectations, career development plans, and technical growth opportunities.
• Foster a culture of accountability, collaboration, operational excellence, and continuous learning.
• Manage staffing, workload prioritization, and resource allocation across multiple projects and operational responsibilities.
• Own operational health and performance of enterprise data platforms, including SAP BW and Microsoft Fabric.
• Lead the ongoing transition from legacy data architectures to modern cloud-based data engineering solutions.
• Ensure reliable and scalable data ingestion, transformation, and orchestration pipelines.

Skills

Leadership

Communication

Stakeholder management

Education

Bachelor's degree in CS/IS/Engineering/Data analytics

Tools

Microsoft Fabric

Azure Data Factory

SAP BW

SQL

Job description

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Lincoln Electric is a high-performance industrial machinery and technology leader who helps customers manufacture and maintain vital equipment and infrastructure. Lincoln Electric’s innovative solutions enable higher quality and productivity across a variety of processes including welding, cutting, brazing, machining, process automation, and field repair. The Company leverages proprietary technologies and expertise in materials science, power electronics, automation, and intelligent software to help customers build better and achieve resilience in their operations. Headquartered in Cleveland, Ohio, Lincoln Electric is the essential ‘Linc’ that keeps the economy running. The Company operates 71 manufacturing and automation facilities across 20 countries and serves customers in over 160 countries. For more information about Lincoln Electric and its products and services, visit the Company’s website at https://www.lincolnelectric.com .

Location: Euclid - Automation
Employment Status: Salary Full-Time
Function: Finance
Pay Range: $141,872.00 - $177,340.00
Target Bonus: 15.0%
Req ID:30271

About the Opportunity

We are a $4B global manufacturing enterprise making significant investments in our cloud data and analytics platform. We are seeking an experienced Manager, Analytics and Data Platform to lead a team responsible for both legacy and modern enterprise data platforms. This role will oversee a team of approximately six Data Engineers supporting SAP BW and our Microsoft Fabric ecosystem while driving the organization's data modernization strategy. The work supports both business intelligence and advanced analytics use cases across the company including: manufacturing, supply chain, and operations.

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.

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.

What You’ll Do

• Establish performance expectations, career development plans, and technical growth opportunities.
• Foster a culture of accountability, collaboration, operational excellence, and continuous learning.
• Manage staffing, workload prioritization, and resource allocation across multiple projects and operational responsibilities.
• Own operational health and performance of enterprise data platforms, including SAP BW and Microsoft Fabric.
• Lead the ongoing transition from legacy data architectures to modern cloud-based data engineering solutions.
• Ensure reliable and scalable data ingestion, transformation, and orchestration pipelines.

Fabric & Data Engineering Governance

• Provide oversight of Bronze and Silver layers within the Medallion Architecture.
• Establish and enforce standards
• Drive improvements in data quality, lineage, observability, and compliance.

Platform Operations & Cost Management

• Implement and manage platform monitoring, health checks, alerting, and operational dashboards.
• Optimize Fabric capacity utilization and cloud consumption costs.
• Develop strategies to balance performance, scalability, and cost efficiency.

Strategic Planning & Execution

• Partner with business leaders, enterprise architects, and analytics teams to develop and execute data platform roadmaps.
• Support enterprise data modernization and cloud transformation initiatives.
• Maintain alignment between business priorities and technology investments.

Required Qualifications

• 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.

Preferred Qualifications

• Experience in manufacturing, industrial, or global enterprise environments.
• Experience with Microsoft Azure data services and cloud-native architectures.
• Familiarity with Spark, PySpark, Lakehouse architectures, and modern data engineering practices.
• Experience implementing FinOps or cloud cost optimization programs.
• Hands-on experience with:
  • Microsoft Fabric
  • Azure Data Factory
  • SAP BW
  • SQL and relational database technologies

What We Offer

• 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 .

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.

Nearest Major Market: Cleveland
Job Segment: SAP, Computer Science, Business Intelligence, Cloud, Database, Technology