Senior Lead Data Engineer (Remote)

Role overview

Responsibilities

• Lead architecture, development, and modernization of enterprise data platforms for global procurement analytics and business transformation.
• Define and execute a multi-year strategy for scalability, reliability, automation, technical debt reduction, and maintainability.
• Build and optimize Azure data solutions using Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD, and infrastructure automation.
• Integrate ERP data and standardize supplier, purchasing, and master data into common enterprise models.
• Partner across technical and business teams to develop reusable data products and engineering solutions.
• Set standards, conduct architecture reviews, improve documentation, and mentor engineers.
• Apply AI-enabled approaches to improve development, data quality, documentation, testing, and analyst productivity.
• Evaluate tools and platform investments for performance, reliability, security, governance, and operational efficiency.
• Support internal data products, APIs, and user-facing applications for procurement insights.
• Present technical recommendations, roadmaps, tradeoffs, and business impacts to stakeholders and leaders.

Required qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field.
• At least 6 years in data engineering, analytics engineering, software engineering, or enterprise data platform development.
• Experience architecting and modernizing scalable enterprise cloud data platforms.
• Hands-on Azure data engineering experience, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD, and infrastructure automation.
• Strong SQL and Python skills, with Spark or a similar distributed data processing framework.
• Experience with ETL/ELT, data warehouse or Lakehouse architectures, data modeling, and analytics performance optimization.
• Experience integrating ERP or enterprise systems and harmonizing master, supplier, purchasing, or transactional data.
• Experience with APIs, REST services, authentication, security, governance, and production support.
• Ability to establish standards, conduct architecture reviews, mentor engineers, influence technical direction, and translate complex business needs into engineering solutions.

Preferred qualifications

• A master’s degree in a related technical field.
• Experience in procurement, supply chain, manufacturing, finance, or global enterprise ERP analytics.
• Experience with SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics.
• Experience with full-stack development, React, Next.js, Vercel, AI-assisted engineering, Power BI, Tableau, or internal data products and applications.

Pay ranges

• Published U.S. annual pay ranges vary by location and range from $118,000 to $255,700.

Benefits

• Benefits include medical, prescription, dental, vision, critical illness, accident, hospital indemnity, wellbeing, and tobacco cessation programs.
• Financial benefits include HSA, FSAs, 401(k), employee stock purchase plan, life and AD&D insurance, and short-term disability.