Lead Data Engineer — Cloud Platform & Analytics Architect

Stryker; Flower Mound (TX); Remote; USD 125,000 - 235,000; Full time

Job summary

Stryker is seeking a Senior Lead, Data Engineering to shape the future of enterprise data solutions. You will drive complex data initiatives, mentor engineers, and set standards across the team while partnering with analysts and stakeholders.

You will lead Azure-based data platforms, leverage Databricks and Delta Lake, and guide multi-year strategy for scalable, reliable data products. This role emphasizes collaboration and technical leadership in a global enterprise.

Qualifications

• Bachelor degree required in a technical field.
• 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development.
• Proven experience architecting, building, and modernising 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.

Responsibilities

• Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation.
• Define and execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, and long-term maintainability.
• Design, build, and optimise Azure-based data solutions using Databricks, Delta Lake, Azure Data Factory, and CI/CD pipelines.
• Integrate and harmonise data across multiple ERP systems by standardising supplier, purchasing, and master data into common models.
• Mentor engineers, establish engineering standards, and present technical recommendations to stakeholders.

Skills

SQL

Python

Leadership

Stakeholder collaboration

Education

Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field

Tools

Databricks

Delta Lake

Azure Data Factory

Azure DevOps

CI/CD pipelines

Infrastructure automation

Job description

Stryker is seeking a Senior Lead, Data Engineering to shape the future of enterprise data solutions. You will drive complex data initiatives, mentor engineers, and set standards across the team while partnering with analysts and stakeholders.

You will lead Azure-based data platforms, leverage Databricks and Delta Lake, and guide multi-year strategy for scalable, reliable data products. This role emphasizes collaboration and technical leadership in a global enterprise.