Senior Lead Data Engineer — Azure Platform Architect

Stryker; Illinois; On-site; USD 130,000 - 256,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Employee Stock Purchase Plan (ESPP)

Life insurance

Short-term disability

Job summary

Stryker is seeking a Senior Lead, Data Engineering to guide the architecture and execution of enterprise data platforms that power procurement analytics. You will mentor engineers, drive standardization of data models, and advance AI-enabled approaches to improve data quality and documentation.

You will collaborate with analysts, architects, and stakeholders to translate complex business requirements into scalable data products and maintainable solutions, while shaping the data engineering

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 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.

Responsibilities

• 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.

Skills

Azure Databricks

Delta Lake

Python

SQL

Spark

ETL/ELT design

Education

Bachelor's degree in CS or related field

Tools

Azure DevOps

CI/CD pipelines

Infrastructure automation

Power BI

Job description

Stryker is seeking a Senior Lead, Data Engineering to guide the architecture and execution of enterprise data platforms that power procurement analytics. You will mentor engineers, drive standardization of data models, and advance AI-enabled approaches to improve data quality and documentation.

You will collaborate with analysts, architects, and stakeholders to translate complex business requirements into scalable data products and maintainable solutions, while shaping the data engineering