Principal Architect, Data Product Delivery (Hybrid)

Work Flexibility: Hybrid

As a Principal Architect, Data Product Delivery, you will lead the design of scalable, secure, and maintainable data and analytics solutions across multiple programs and business domains. You will partner with Engineering, Product Management, Data Governance, Security, platform teams, and business stakeholders to translate strategy into practical architecture, delivery roadmaps, and reusable implementation patterns.

What You Will Do

• Technical Responsibilities: Define architecture direction, standards, reference patterns, and reusable components for data ingestion, storage, transformation, analytics, and consumption.
• Own architecture diagrams, technical designs, integration blueprints, data models, standards, and architecture decision records for the Data and Analytics vertical.
• Develop proofs of concept, reference implementations, and reusable patterns that accelerate delivery and reduce technical debt.
• Evaluate emerging technologies, platforms, frameworks, and advanced analytics capabilities, and recommend fit-for-purpose adoption.
• Conduct architecture, design, and code reviews to assess scalability, performance, security, reliability, supportability, and engineering quality.
• Embed data privacy, access control, governance, and compliance requirements into solution designs with Data Governance and Security teams.
• Resolve complex performance, quality, scalability, integration, reliability, and operational challenges with engineering teams.
• Mentor engineers and architects through solution design, implementation planning, technical evaluations, and delivery reviews.
• Translate strategic requirements into technical designs, delivery roadmaps, and phased implementation plans with Product Management, platform teams, and business stakeholders.
• Knowledge and Capabilities: Apply enterprise data architecture practices across data warehousing, Lakehouse, real-time streaming, data engineering, integration, analytics, and operational support.
• Balance scalability, performance, cost, maintainability, delivery constraints, and engineering trade-offs when designing solutions.
• Analyze ambiguous, cross-functional technical challenges and explain architecture decisions and trade-offs to technical and executive audiences.
• Influence technical decisions through expertise, collaboration, and hands-on leadership while staying current with relevant data and analytics technologies.

What You Need

Required Qualifications:

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.

Minimum 8 years of experience in data engineering, solution architecture, or technical design roles, including architecture ownership.

Experience architecting large-scale enterprise data platforms and integration solutions.

Hands-on experience with cloud data platforms, data modeling, modern data architecture patterns, Databricks or an equivalent Lakehouse platform, and guiding implementation teams through complex technical challenges.

Preferred Qualifications:

• Master's degree in Computer Science, Information Systems, Engineering, or a related discipline.
• Experience with Azure Data Services, Databricks Lakehouse, Delta Lake, Delta Live Tables, Unity Catalog, SQL, Python, ETL/ELT, change data capture, dimensional modeling, medallion architecture, and distributed data processing.
• Experience with ERP and integration ecosystems such as Oracle, JDE, Salesforce, SAP S/4HANA, Kafka, REST, or GraphQL, including commercial, manufacturing, supply chain, or finance data domains.
• Cloud architecture certification such as AWS Solutions Architect, Azure Solutions Architect Expert, or GCP Professional Cloud Architect; TOGAF or an equivalent enterprise architecture certification.
• United States of America Pay Ranges: USN : $135,600 - $225,900 USD Annual
• US10 : $149,200 - $248,500 USD Annual
• US20 : $162,700 - $271,100 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: None

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.