Principal Architect, EDT Data Platform Engineering (Hybrid)

About the role

Stryker is hiring a Principal Architect for its EDT Data Platform Engineering team in Kalamazoo, Michigan, on a hybrid basis. The role translates enterprise data architecture into scalable engineering solutions on the Azure and Databricks Lakehouse platform, partnering with delivery teams, business representatives and data stewards to build governed data pipelines, analytics-ready models and reusable automation.

Key responsibilities

• Build and maintain ingestion frameworks using Azure Data Factory, Databricks and Spark, and implement bronze-to-silver transformations with data quality checks and schema validation.
• Optimize batch and streaming pipelines for performance and cost, and own CI/CD pipelines in Azure DevOps, including project onboarding, repositories, pipelines, policies and templates.
• Maintain infrastructure as code and automation with Terraform, PowerShell and Python, and troubleshoot pipeline failures and permission issues.
• Design curated gold-layer data models (star and snowflake schemas, fact tables, dimensions, surrogate keys, slowly changing dimensions) and align them with the enterprise semantic layer in Power BI, Microsoft Fabric and downstream tools.
• Manage model changes through impact analysis, backward compatibility and documented column derivation logic.
• Implement Unity Catalog standards, naming conventions, metadata policies, data quality frameworks and role- and attribute-based access controls.
• Translate high-level architecture into low-level designs, reusable templates and engineering playbooks, and lead delivery teams through onboarding, debugging and design reviews.

Required profile

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business or an equivalent field.
• Minimum 8 years of experience in data engineering, data warehousing and data/analytics platforms, with recent hands-on delivery on Azure and Databricks Lakehouse platforms.
• Preferred: Master's degree in Management Information Systems, Business Administration or a related discipline, or an Azure analytics certification.

Required skills

• Azure Data Factory, Azure Data Lake Storage, Azure SQL, Databricks Delta Live Tables, Delta Lake, Spark, Workflows and Unity Catalog.
• Advanced PySpark or Python and SQL, including batch and streaming pipeline design.
• Azure DevOps pipelines, repositories and policies, PowerShell automation, CI/CD and infrastructure as code.
• Schema enforcement, data contracts, data quality frameworks, metadata-driven design, monitoring, debugging and performance tuning.
• Preferred: Microsoft Fabric and experience in the medical device or another regulated industry.

Pay ranges are listed by U.S. location, with travel of up to 20%.