Senior Lead Data Engineer

Senior Lead, Data Engineering role in Kalamazoo, MI (remote), leading enterprise data platform modernization and scalable analytics delivery.

Responsibilities

• Lead architecture, development, and modernization of scalable enterprise data platforms for global procurement analytics and business transformation.
• Define and execute 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 convert complex business needs into reusable, scalable data products and engineering solutions.
• Set engineering standards, perform architecture reviews, strengthen 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 improve analyst productivity.
• Evaluate and recommend tools, frameworks, patterns, and platform investments to improve performance, reliability, security, governance, and operational efficiency.
• Support internal data product development, including APIs and user-facing applications that simplify access to procurement insights.
• Communicate technical recommendations, roadmap priorities, tradeoffs, and business impact 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 environment.
• Hands-on experience with Azure-based data engineering technologies: Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
• Strong proficiency in SQL and Python, including experience with Spark (or similar distributed data 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 source systems and harmonizing inconsistent master, supplier, purchasing, and 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 with analysts, engineers, architects, and business stakeholders to translate complex requirements into 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

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, such as 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: 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.
• Demonstrated curiosity and continuous learning mindset, including experimentation with emerging technologies in practical engineering or analytics use cases.

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)

Compensation

• Annual salary range: $118,000 - $255,700 USD
• United States pay ranges shown by location band (example bands): USN $118,000 - $196,700; US30 $153,400 - $255,700

Location

• Kalamazoo, MI (remote)

Posting Details

• Posted date: 09/21/2026
• Will be posted for a minimum of 3 days

Additional Notes

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