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# Senior Lead Data Engineer (Remote)

- **Company:** Stryker Corporation
- **Location:** Michigan, ND, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, User Authentication, Microsoft Azure, Information Systems, Continuous Integration, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Distributed Computing Environment, Python (Programming Language), Standard Sql, Software Engineering, Enterprise Data Management, Cloud Platform System, Azure Data Factory, Apache Spark, Data Lakes, Infrastructure Automation Frameworks, Information Technology, Data Analytics, Data Management, Restful APIs, Data Pipelines, Api Management, Databricks
- **Published:** August 7, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-lead-data-engineer-remote-michigan-nd-usa-58825179

## About the Role

role data from multiple ERP systems and harmonize master data into common models * Collaborate with analysts, architects, engineers, and business stakeholders to translate needs into reusable data products * Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers * Explore AI-enabled approaches to accelerate development, automate documentation, and enhance productivity * Evaluate tools and platform investments to improve performance, security, governance, and operational efficiency * Support development of internal data products, APIs, and user-facing applications for procurement insights * Present technical recommendations and roadmaps to both technical and non-technical audiences including leadership Tasks * Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or related field * 6+ years in data engineering, analytics engineering, software engineering, or enterprise data aaaaa
and development * Proven experience building and modernizing cloud-based data platforms in an enterprise * Hands-on experience with Azure-based data engineering tech (Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD) * Strong SQL and Python, with Spark or similar distributed processing * Experience designing ETL/ELT pipelines, data warehouses or Lakehouse architectures, and optimized analytics * Experience integrating data from multiple ERP systems and harmonizing master, supplier, purchasing data into common models * Experience with API integrations, REST, authentication, security, data governance, and production support * Ability to establish engineering standards, conduct architecture reviews, mentor, and influence technical direction * Ability to translate complex business requirements into scalable, maintainable engineering solutions Key requirements * remote work

## Description

Experteer Overview As a Senior Lead, Data Engineering, you will shape enterprise data solutions and drive scalable data platforms for global procurement analytics. You will lead architecture, modernization, and cross-functional collaboration to deliver high-impact data products. You'll mentor engineers and elevate data engineering practices while integrating AI-enhanced approaches to improve data quality and productivity. This role offers the opportunity to influence strategy and work on complex, impactful problems within a global, data-driven organization. Compensation / Benefits * Lead architecture, development, and modernization of scalable enterprise data platforms for procurement analytics * Define and execute a multi-year data engineering strategy focused on scalability, reliability, automation, and maintainability * Design, build, and optimize Azure-based data solutions using Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD, and infrastructure automation * Integrate data from multiple ERP systems and harmonize master data into common models * Collaborate with analysts, architects, engineers, and business stakeholders to translate needs into reusable data products * Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers * Explore AI-enabled approaches to accelerate development, automate documentation, and enhance productivity * Evaluate tools and platform investments to improve performance, security, governance, and operational efficiency * Support development of internal data products, APIs, and user-facing applications for procurement insights * Present technical recommendations and roadmaps to both technical and non-technical audiences including leadership Tasks * Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or related field * 6+ years in data engineering, analytics engineering, software engineering, or enterprise data platform development * Proven experience building and modernizing cloud-based data platforms in an enterprise * Hands-on experience with Azure-based data engineering tech (Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD) * Strong SQL and Python, with Spark or similar distributed processing * Experience designing ETL/ELT pipelines, data warehouses or Lakehouse architectures, and optimized analytics * Experience integrating data from multiple ERP systems and harmonizing master, supplier, purchasing data into common models * Experience with API integrations, REST, authentication, security, data governance, and production support * Ability to establish engineering standards, conduct architecture reviews, mentor, and influence technical direction * Ability to translate complex business requirements into scalable, maintainable engineering solutions Key requirements * remote work


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