Senior Lead Data Engineer

Senior Lead, Data Engineering role in Kalamazoo, MI (remote) driving enterprise data platform modernization and procurement analytics.

Responsibilities

• Lead architecture, development, and modernization of scalable enterprise data platforms for global procurement analytics and business transformation.
• Define and support execution of a multi-year data engineering strategy focused on scalability, reliability, automation, technical debt reduction, and long-term maintainability.
• Design, build, and optimize Azure-based data solutions using Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
• Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models.
• Collaborate with procurement analysts, architects, engineers, and business stakeholders to turn complex needs into reusable, scalable data products and engineering solutions.
• Set engineering standards, run architecture reviews, improve documentation, and mentor engineers to raise team technical capability.
• Identify and implement AI-enabled approaches to accelerate development, improve data quality, automate documentation, support testing, and increase analyst productivity.
• Evaluate and recommend tools, frameworks, patterns, and platform investments to improve performance, reliability, security, governance, and operational efficiency.
• Support internal data products, APIs, and user-facing applications that simplify access to procurement insights.
• Communicate technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams.

Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field.
• 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development.
• Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise setting.
• Hands-on experience with Azure data engineering technologies: Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
• Strong proficiency in SQL and Python, with experience using Spark (or similar distributed processing frameworks).
• Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions.
• Experience integrating data from multiple ERP or enterprise sources and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models.
• Experience with API integrations, REST services, authentication, security, data governance, and production support practices.
• Ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority.
• Ability to partner across analysts, engineers, architects, and business stakeholders to deliver scalable, maintainable engineering solutions.

Technologies

• Azure, Databricks, Delta Lake, Azure Data Factory, Azure DevOps
• CI/CD pipelines, infrastructure automation
• SQL, Python, Spark
• ETL/ELT, data warehouse, Lakehouse
• API integrations, REST services

Benefits

• 12 paid holidays annually
• Medical and prescription drug insurance
• Dental insurance
• Vision insurance
• Critical illness insurance
• Accident insurance
• Hospital indemnity insurance
• Personalized healthcare support
• Wellbeing program and tobacco cessation program
• Health Savings Account (HSA)
• Flexible Spending Accounts (FSAs)
• 401(k) plan
• Employee Stock Purchase Plan (ESPP)
• Basic life and AD&D insurance
• Short-term disability insurance
• Service and performance awards
• Wellness programs
• Various social and recreational activities (location specific)

Preferred

• Master’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Business Analytics, or a related technical field.
• Experience supporting procurement, supply chain, manufacturing, finance, or ERP analytics in a global enterprise environment.
• Experience building or modernizing enterprise data platforms, Lakehouse architectures, or cloud analytics ecosystems at scale.
• Hands-on experience with multiple ERP platforms, including SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics.
• Full-stack engineering experience including React, Next.js, Vercel, API development, authentication, and internal web application development.
• Experience using AI-assisted engineering tools and workflows such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or AI-assisted documentation.
• Experience designing internal tools, data products, APIs, or analyst-facing applications that improve productivity and simplify access to insights.
• Experience leading cloud modernization, platform migration, technical debt reduction, automation, or data quality improvement initiatives.
• Experience with Power BI, Tableau, or similar business intelligence and visualization tools.
• Curiosity and continuous learning mindset with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases.

Location and Posting

• Kalamazoo, MI (remote)
• Posted date: 09/21/2026
• Minimum posting period: 3 days

Compensation

USD 118,000 - 255,700 per yearly

• USN: $118,000 - $196,700 USD Annual
• US5: $123,900 - $206,500 USD Annual
• US10: $129,800 - $216,400 USD Annual
• US15: $135,700 - $226,200 USD Annual
• US20: $141,600 - $236,000 USD Annual
• US30: $153,400 - $255,700 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Additional Notes

• Depending on customer requirements, employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.