Senior Principal Data Architect - Remote Lakehouse Strategy

Stryker; Portage (MI); Hybrid; USD 156,000 - 312,000; 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

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.