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

Stryker Corporation; Kalamazoo (MI); Hybrid; Confidential; Full time

Job summary

Stryker Corporation is seeking a Senior Principal Architect to own the enterprise data architecture strategy for the global Azure and Databricks Lakehouse ecosystem. You will collaborate with engineering teams, architecture forums, business leaders, and vendor partners to define target state and standards.

You will publish design standards, co-chair the architecture review board, guide critical decisions, and lead batch and streaming data pipelines with PySpark, Delta Live Tables, and Power BI.

Qualifications

• 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 using Azure and Databricks Lakehouse platforms.
• Experience personally architecting and implementing enterprise data platforms and batch or streaming pipelines.
• Experience with Azure, Azure Data Lake Storage, Databricks Spark, Delta Lake, Unity Catalog, Databricks Workflows or Delta Live Tables, modern data engineering practices, and Power BI.
• 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 personally identifiable or protected health information controls.

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 experiences.
• Publish and maintain design standards and reusable blueprints for lakehouse zoning, Delta table design, ingestion, orchestration, semantic models, security, and access, supported by working reference implementations.
• Co-chair the architecture review board, exercise approval rights at defined design gates, maintain Architecture Decision Records, and manage waivers for justified deviations.
• Intervene in critical technical decisions and architectural drift through design sessions, code reviews, and hands-on guidance, serving as the 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 solutions 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.
• Serve as the senior technical counterpart to Microsoft and Databricks by evaluating preview features, influencing roadmaps, and translating vendor direction into architectural implications.

Skills

Data architecture

Azure

Databricks

Power BI

Spark

Delta Lake

Databricks Workflows

Data governance

Security and privacy

Code reviews

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field

Master’s degree in MIS or MBA

Tools

Azure Data Lake Storage

Databricks

Delta Lake

Unity Catalog

Power BI

Azure Data Factory

Databricks Genie

Microsoft Copilot

Job description

Work Flexibility: Hybrid As a Senior Principal Architect, EDT Data Architecture Strategy & Standards, you will own the enterprise data and analytics architecture strategy, standards, and design patterns for the global Azure and Databricks Lakehouse ecosystem. You will partner directly with engineering teams, architecture forums, business leaders, Microsoft, and Databricks to define the target state, guide critical design decisions, and validate standards through working implementations.

What You Will Do:

Technical 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 experiences.
• Publish and maintain design standards and reusable blueprints for lakehouse zoning, Delta table design, ingestion, orchestration, semantic models, security, and access, supported by working reference implementations.
• Co-chair the architecture review board, exercise approval rights at defined design gates, maintain Architecture Decision Records, and manage waivers for justified deviations.
• Intervene in critical technical decisions and architectural drift through design sessions, code reviews, and hands‑on guidance, serving as the 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 solutions toward approved patterns.
• Establish lifecycle standards for data quality, pipeline testing, continuous integration and delivery, observability, and lineage, and run proofs of concept, architecture spikes, and solution health assessments.
• Serve as the senior technical counterpart to Microsoft and Databricks by evaluating preview features, influencing roadmaps, and translating vendor direction into architectural implications.

Knowledge and Capabilities

Assess complex platforms, identify patterns, troubleshoot issues, and guide teams toward practical architecture and process improvements.

Explain technical concepts, recommendations, and tradeoffs clearly in executive forums and detailed technical design sessions.

Partner with business representatives at all levels to identify needs, document requirements, and guide decisions toward effective solutions.

What You Need:

Required Qualifications

• 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 using Azure and Databricks Lakehouse platforms.
• Experience personally architecting and implementing enterprise data platforms and batch or streaming pipelines.
• Experience with Azure, Azure Data Lake Storage, Databricks Spark, Delta Lake, Unity Catalog, Databricks Workflows or Delta Live Tables, modern data engineering practices, and Power BI.
• 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 personally identifiable or protected health information controls.

Preferred Qualifications

• Master’s degree in Management Information Systems, Business Administration, or a related discipline.
• Azure analytics certification and experience with Databricks Genie and Microsoft Copilot.

United States of America Pay Ranges: USN: $155,900 - $259,700 USD Annual US10: $171,500 - $285,700 USD Annual US20: $187,100 - $311,600 USD Annual View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 20%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability. Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com

Work Flexibility Remote – Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location. Field-based – You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based. Onsite – Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category. Hybrid – You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co‑located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.