Senior Lead Data Engineer (Remote)

As a Senior Lead Data Engineering you will serve as a technical leader who helps shape the future of enterprise data this role you will drive complex data initiatives influence technical strategy and partner with teams across the organization to build scalable high-impact data products. This is an opportunity to solve challenging business problems while mentoring fellow engineers and elevating data engineering best practices.

What You Will Do

• Lead the architecture development and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation.
• Define and help execute a multi-year data engineering strategy focused on platform scalability reliability automation technical debt reduction and long-term maintainability.
• Design build and optimize Azure-based data solutions using technologies such as 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.
• Partner with procurement analysts architects engineers and business stakeholders to translate complex business needs into reusable scalable data products and engineering solutions.
• Establish engineering standards conduct architecture reviews improve documentation and mentor engineers to raise the overall technical capability of the team.
• Identify and implement AI-enabled approaches that accelerate development improve data quality automate documentation support testing and enhance analyst productivity.
• Evaluate and recommend tools frameworks patterns and platform investments that improve performance reliability security governance and operational efficiency.
• Support the development of internal data products APIs and user-facing applications that simplify access to procurement insights and improve analyst productivity.
• Present technical recommendations roadmap priorities tradeoffs and business impacts to technical and non-technical stakeholders including leadership teams.

What you need

Required

• Bachelors 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 including 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 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 or transactional data into common data models.
• Experience with API integrations REST services authentication security data governance and production support practices.
• Demonstrated 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 business requirements into scalable maintainable engineering solutions.

Preferred

• Masters 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 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.
• Demonstrated curiosity and continuous learning mindset with a track record of experimenting with emerging technologies and applying them to practical engineering or analytics use cases.

United States of America Pay Ranges:

• USN: $118000 - $196700 USD Annual
• US5: $123900 - $206500 USD Annual
• US10: $129800 - $216400 USD Annual
• US15: $135700 - $226200 USD Annual
• US20: $141600 - $236000 USD Annual
• US30: $153400 - $255700 USD Annual