Principal Architect, Data Product Delivery

Stryker

. Lead the design of scalable, secure, and maintainable data and analytics solutions across multiple programs and business domains .

Posted 9/18/2026full-timeMahwah • New Jersey • United StatesLead💰 $135,600 - $271,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable and secure data and analytics solutions, with a strong focus on cloud data platforms and modern data architecture patterns. Proficient in translating strategic requirements into technical designs and delivery roadmaps while ensuring compliance and governance.

Highest-signal resume keywords

Data EngineeringSolution ArchitectureCloud Data PlatformsData ModelingEnterprise Data Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData StorageData TransformationAnalyticsSQLPythonETL/ELTDimensional ModelingChange Data CaptureDistributed Data Processing

Soft Skills

MentoringCollaborationProblem SolvingTechnical Leadership

Tools & Technologies

DatabricksAzure Data ServicesDelta LakeDelta Live TablesUnity CatalogKafkaRESTGraphQL

Certifications & Qualifications

AWS Solutions ArchitectAzure Solutions Architect ExpertGCP Professional Cloud ArchitectTOGAF

Industry Keywords

ERPIntegration EcosystemsCommercial DataManufacturing DataSupply Chain DataFinance Data

Tech Stack

Tools & technologies

AWSAzureCloudERPETLGoogle Cloud PlatformGraphQLKafkaOraclePythonSQLUnity

About the role

Key responsibilities & impact

Lead the design of scalable, secure, and maintainable data and analytics solutions across multiple programs and business domains
Partner with Engineering, Product Management, Data Governance, Security, platform teams, and business stakeholders to translate strategy into architecture, delivery roadmaps, and reusable implementation patterns
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 to 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
Embed data privacy, access control, governance, and compliance requirements into solution designs
Resolve complex performance, quality, scalability, integration, reliability, and operational challenges
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
Apply enterprise data architecture practices across data warehousing, Lakehouse, real-time streaming, data engineering, integration, analytics, and operational support
Analyze 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

Requirements

What you’ll need

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
Experience guiding implementation teams through complex technical challenges
Preferred: Master's degree in Computer Science, Information Systems, Engineering, or a related discipline
Preferred: 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
Preferred: Experience with ERP and integration ecosystems such as Oracle, JDE, Salesforce, SAP S/4HANA, Kafka, REST, or GraphQL
Preferred: Experience with commercial, manufacturing, supply chain, or finance data domains
Preferred: Cloud architecture certification such as AWS Solutions Architect, Azure Solutions Architect Expert, GCP Professional Cloud Architect, TOGAF, or an equivalent enterprise architecture certification

Benefits

Comp & perks

Hybrid work flexibility
No travel required (Travel Percentage: None)
Equal opportunity employment protections