Stryker seeks a Senior Lead Data Engineer to serve as a technical leader for enterprise data solutions. The role will guide complex data initiatives spanning data platform architecture, Azure-based engineering, and procurement analytics, while mentoring engineers and strengthening engineering practices.
Role Overview
This position focuses on shaping and delivering scalable enterprise data platforms that enable global procurement analytics and support business transformation. The Senior Lead Data Engineer will drive a multi-year engineering strategy, improve platform maintainability and reliability, and translate complex business needs into reusable data products and engineering solutions.
Key Responsibilities
- Lead the architecture, development, and modernization of scalable enterprise data platforms supporting global procurement analytics and business transformation.
- Define and help execute a multi-year data engineering strategy covering 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, and Azure DevOps, including 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 convert complex business requirements into scalable, reusable data products.
- Set engineering standards, perform architecture reviews, improve documentation, and mentor engineers to raise the team’s technical capability.
- Identify and implement AI-enabled approaches to 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 internal data products, APIs, and user-facing applications that simplify access to procurement insights.
- Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams.
Required Qualifications
- 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 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 and harmonizing data from multiple ERP or enterprise source systems into common data models, including master, supplier, purchasing, and transactional data.
- 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 Qualifications
- 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, 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, including experimenting with emerging technologies and applying them to practical engineering or analytics use cases.
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
Location and Work Arrangement
Kalamazoo, MI (remote)
Compensation
Estimated annual salary range: USD 118,000 - 255,700.
United States pay ranges:
- 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.
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)
Posting Information
- Posted date: 09/21/2026
- Minimum posting duration: 3 days
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.
