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Stryker
Gurugram, India; Haryana, Gurugram International Techpark, Block III Phase 2 Floors G, 2, 3; Karnataka, Bengaluru Old No 62, Plot No 9, Doddenakkundi Phase 1 Industrial Area
Source: Stryker careers · View original posting
From Stryker's posting. “We” and “our” refer to the employer.
Work Flexibility: Hybrid
Principal Architect, Data Architecture and Design
The Principal Technical Architect provides technical leadership for complex data and analytics solutions across multiple programs and business domains. This role is responsible for translating business strategy into scalable, secure, and maintainable technology solutions while partnering closely with engineering, product, governance, and business teams.
The architect combines strong solution design expertise with practical technical depth to ensure architecture standards, patterns, and best practices are successfully implemented in delivery.
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required; Cloud Architecture (Azure, AWS, GCP) and TOGAF certifications are highly desirable.
10-14 years of experience in Data Engineering, Solution Architecture, or Technical Architecture roles, with a proven track record of architecting and delivering large-scale, enterprise data and analytics platforms.
Deep expertise in modern cloud data ecosystems , including Azure, Databricks, Lakehouse architectures, and enterprise-scale data platforms, with the ability to guide teams through complex technical challenges.
Strong hands-on proficiency in SQL, Python, data modeling, ETL/ELT, CDC, dimensional modeling, and scalable data architecture patterns , with a focus on performance, resilience, and maintainability.
Experience integrating complex enterprise systems such as SAP, Oracle, JDE, Salesforce, or similar ERP platforms , spanning commercial, manufacturing, supply chain, finance, and operational data domains.
Demonstrated ability to design governed, consumption-ready data products with robust data quality, lineage, security, semantic modeling, and analytics capabilities.
Strong understanding of API-driven, event-based, and cloud-native architectures , including DevOps, CI/CD, infrastructure-as-code, observability, and modern engineering practices.
Proven ability to influence architectural decisions, communicate technical trade-offs, and build consensus across engineering, product, governance, and executive stakeholders without direct authority.
Travel Percentage: None
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