Senior Lead Data Engineer

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🔥 4 minutes ago

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Logo of Stryker

Stryker

10,000+ employees

Founded 1941

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Stryker is a global leader in medical technology, providing innovative products and services across the healthcare sector. With a presence in countries across the Americas, Asia Pacific, Europe, and the Middle East & Africa, Stryker offers a wide range of medical technologies, including orthopedic implants, surgical equipment, and advanced hospital devices. The company is committed to improving patient outcomes and healthcare efficiency. Stryker continues to expand its global reach, offering localized solutions to meet diverse healthcare needs worldwide.

📋 Description

• 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 focused on scalability, reliability, automation, technical debt reduction, and maintainability • Design, build, and optimize Azure-based data solutions • Integrate and harmonize data across multiple ERP systems into common enterprise data models • Partner with procurement analysts, architects, engineers, and business stakeholders to translate business needs into scalable data products • Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers • 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 • Support internal data products, APIs, and user-facing applications • Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to stakeholders and leadership

🎯 Requirements

• Required 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 • Experience architecting, building, and modernizing scalable cloud-based enterprise data platforms • Hands-on experience with Azure, Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation • Strong proficiency in SQL and Python • Experience with Spark or similar distributed data processing frameworks • Experience designing ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and optimized analytics solutions • Experience integrating multiple ERP or enterprise source systems and harmonizing master, supplier, purchasing, or transactional data • Experience with API integrations, REST services, authentication, security, data governance, and production support • Ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction • Ability to translate complex business requirements into scalable, maintainable engineering solutions • Preferred Master’s degree in a related technical field • Preferred experience with procurement, supply chain, manufacturing, finance, or ERP analytics • Preferred experience with SAP ECC, SAP S/4HANA, Oracle, JD Edwards, Infor, QAD, or Microsoft Dynamics • Preferred full-stack experience with React, Next.js, Vercel, APIs, authentication, and internal web applications • Preferred experience with AI-assisted engineering tools such as GitHub Copilot, ChatGPT, Claude, Cursor, AI coding agents, AI-assisted testing, or documentation • Preferred experience with Power BI, Tableau, or similar BI tools

🏖️ Benefits

• Remote work flexibility • Travel: 10% • Equal opportunity employment

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