Senior Lead Data Engineer (Remote)

Stryker · Multiple locations

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IT & SoftwareFull-time$118k–$197kCompany career page

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What they're looking for

Bachelor's degree in Computer Science, Data Engineering, Data Science, or related technical field
6+ years data engineering, analytics engineering, or enterprise data platform development experience
Proven experience architecting scalable cloud-based data platforms in enterprise environments
Hands-on expertise with Azure technologies: Databricks, Delta Lake, Azure Data Factory, DevOps, CI/CD
Strong SQL and Python proficiency; experience with Spark or distributed data processing frameworks
Experience designing ETL/ELT pipelines, data warehouse/Lakehouse architectures, and performance-optimized analytics
Ability to establish engineering standards, mentor engineers, and influence technical direction

What you'll be doing

Lead architecture, development, and modernization of scalable enterprise data platforms supporting global procurement analytics
Define and execute multi-year data engineering strategy focused on scalability, reliability, and technical debt reduction
Design and optimize Azure-based data solutions integrating multiple ERP systems into common enterprise data models
Mentor engineers, establish standards, conduct architecture reviews, and elevate technical capability of the team
Partner with stakeholders to translate business requirements into reusable, scalable data products and solutions

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