Senior Principal Architect, EDT Data Architecture Strategy & Standards (Hybrid)

About the role

Stryker is hiring a Senior Principal Architect for its EDT Data Architecture Strategy and Standards role, based in Kalamazoo on a hybrid basis. You will own the enterprise data and analytics architecture strategy, standards and design patterns for the global Azure and Databricks Lakehouse ecosystem, partnering with engineering teams, architecture forums, business leaders, Microsoft and Databricks to define the target state, guide design decisions and validate standards through working implementations.

Key responsibilities

• Define and own the enterprise reference architecture and multi-year roadmap across Azure Data Lake Storage, Databricks, Delta Lake, Unity Catalog, medallion architecture, Power BI, Databricks Genie and Microsoft Copilot.
• Publish and maintain design standards and reusable blueprints for lakehouse zoning, Delta table design, ingestion, orchestration, semantic models, security and access, backed by reference implementations.
• Co-chair the architecture review board, hold approval rights at design gates, maintain Architecture Decision Records and manage waivers for justified deviations.
• Intervene in critical technical decisions through design sessions, code reviews and hands-on guidance, acting as escalation point for technical disputes.
• Design and build batch and streaming pipelines using change data capture, Delta Live Tables, Databricks Workflows, Auto Loader, Azure Data Factory, PySpark and SQL medallion transformations.
• Review production code and pipeline designs, including Spark jobs, compute configurations, performance tuning and Databricks unit efficiency, and pair with engineers to refactor toward approved patterns.
• Establish lifecycle standards for data quality, pipeline testing, CI/CD, observability and lineage, and run proofs of concept, architecture spikes and solution health assessments.
• Act as senior technical counterpart to Microsoft and Databricks, evaluating preview features, influencing roadmaps and translating vendor direction into architectural implications.

Required profile

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business or a related field.
• Minimum 10 years of progressive experience in data engineering, data architecture and analytics within large, global enterprises, including recent hands-on delivery with Azure and Databricks Lakehouse platforms.
• Experience architecting and implementing enterprise data platforms and batch or streaming pipelines.
• Experience defining and operationalizing enterprise architecture standards, reference architectures and architecture review or design authority processes.
• Experience applying data security, privacy and regulated-environment requirements, including GxP, HIPAA and PII controls.

Required skills

• Azure, Azure Data Lake Storage, Databricks Spark, Delta Lake, Unity Catalog, Databricks Workflows or Delta Live Tables, modern data engineering practices and Power BI.
• Preferred: Master's degree in MIS, Business Administration or a related discipline, Azure analytics certification, and experience with Databricks Genie and Microsoft Copilot.

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